RHSA-2026:30089

Vulnerability from csaf_redhat - Published: 2026-06-25 19:32 - Updated: 2026-06-27 08:31
Summary
Red Hat Security Advisory: Red Hat AI Inference Server 3.3.5 (CUDA)
Severity
Critical
Notes
Topic: Red Hat AI Inference Server 3.3.5 (CUDA) is now available.
Details: Red Hat® AI Inference Server
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CVE-2026-4775

A flaw was found in the libtiff library. A remote attacker could exploit a signed integer overflow vulnerability in the putcontig8bitYCbCr44tile function by providing a specially crafted TIFF file. This flaw can lead to an out-of-bounds heap write due to incorrect memory pointer calculations, potentially causing a denial of service (application crash) or arbitrary code execution.

7.8 (High)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE-190 - Integer Overflow or Wraparound
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-4786

A flaw was found in the Python webbrowser.open() API. If a specially crafted URL containing "%action" is processed, an attacker could bypass a previous mitigation for CVE-2026-4519. This bypass allows for command injection into the underlying shell, potentially leading to arbitrary code execution.

7.1 (High)
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:L
CWE-88 - Improper Neutralization of Argument Delimiters in a Command ('Argument Injection')
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-4878

A flaw was found in libcap. A local unprivileged user can exploit a Time-of-check-to-time-of-use (TOCTOU) race condition in the `cap_set_file()` function. This allows an attacker with write access to a parent directory to redirect file capability updates to an attacker-controlled file. By doing so, capabilities can be injected into or stripped from unintended executables, leading to privilege escalation.

6.7 (Medium)
CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H
CWE-367 - Time-of-check Time-of-use (TOCTOU) Race Condition
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-6100

A flaw was found in Python's decompression modules, including `lzma.LZMADecompressor`, `bz2.BZ2Decompressor`, and `gzip.GzipFile`. This vulnerability, a use-after-free, can occur if a program attempts to re-use a decompression object after a memory allocation error, especially when the system is experiencing high memory usage. Exploitation of this flaw could potentially allow an attacker to execute arbitrary code or access sensitive data. The vulnerability is only present if the program re-uses decompressor instances across multiple decompression calls even after a `MemoryError` is raised during decompression. Using the helper functions to one-shot decompress data such as `lzma.decompress()`, `bz2.decompress()`, `gzip.decompress()`, and `zlib.decompress()` are not affected as a new decompressor instance is used per call. If the decompressor instance is not re-used after an error condition, this usage is similarly not vulnerable.

8.1 (High)
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
CWE-825 - Expired Pointer Dereference
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-10118

A flaw was found in Poppler's Splash backend. A remote attacker could exploit this vulnerability by crafting a malicious PDF file that, when rendered, triggers an integer overflow in the `tilingPatternFill` function. This overflow leads to an undersized heap memory allocation, allowing a subsequent out-of-bounds write. Successful exploitation could result in arbitrary code execution, information disclosure, or denial of service within the context of the application processing the PDF.

7.8 (High)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE-190 - Integer Overflow or Wraparound
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-22778

A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). A remote attacker can exploit this vulnerability by sending a specially crafted video URL to vLLM's multimodal endpoint. This action causes vLLM to leak a heap memory address, significantly reducing the effectiveness of Address Space Layout Randomization (ASLR). This information disclosure can then be chained with a heap overflow vulnerability to achieve remote code execution.

9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CWE-209 - Generation of Error Message Containing Sensitive Information
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Critical
CVE-2026-22807

A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). This vulnerability allows a remote attacker to achieve arbitrary code execution on the vLLM host during model loading. This occurs because vLLM loads Hugging Face `auto_map` dynamic modules without properly validating the `trust_remote_code` setting. By influencing the model repository or path, an attacker can execute malicious Python code at server startup, even before any API requests are handled.

8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE-94 - Improper Control of Generation of Code ('Code Injection')
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-24779

A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). A Server-Side Request Forgery (SSRF) vulnerability exists in the MediaConnector class, specifically within the load_from_url and load_from_url_async methods. An attacker can exploit differing interpretations of backslashes by Python parsing libraries used for host restrictions to bypass these restrictions. This allows the attacker to force the vLLM server to make arbitrary requests to internal network resources, potentially leading to information disclosure, denial of service, or unauthorized access within containerized environments.

7.1 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L
CWE-918 - Server-Side Request Forgery (SSRF)
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-34588

A flaw was found in OpenEXR, an image storage format for the motion picture industry. A remote attacker could exploit an integer overflow vulnerability in the `internal_exr_undo_piz()` function by providing a specially crafted EXR file. This flaw leads to out-of-bounds reads and writes, which may allow for arbitrary code execution or sensitive information disclosure.

8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE-190 - Integer Overflow or Wraparound
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-34982

A flaw was found in Vim. A modeline is used to set specific editor options directly from a text file. However, the `complete`, `guitabtooltip`, `printheader` options and the `mapset` function lack proper security checks, allowing an attacker to bypass restrictions and cause arbitrary OS command execution.

8.2 (High)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:N
CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-35385

A flaw was found in OpenSSH. When the `scp` command is used by a root user to download a file with the legacy protocol option (`-O`) and without preserving original file permissions (`-p`), the downloaded file can be installed with elevated privileges (setuid or setgid). This unexpected behavior could allow a malicious file to execute with higher permissions than intended, posing a security risk through potential privilege escalation.

7.5 (High)
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE-281 - Improper Preservation of Permissions
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-37555

A flaw was found in the libsndfile library. An integer overflow in the IMA ADPCM codec can occur when a specially crafted WAV audio file is processed, specifically with malicious samplesperblock and blocks values. This can lead to a heap-based buffer overflow, causing a crash to the application linked to the library and memory corruption.

8.2 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:H
CWE-190 - Integer Overflow or Wraparound
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-39892

A flaw was found in the cryptography library. This vulnerability occurs when a non-contiguous buffer is passed to certain application programming interfaces (APIs) that accept Python buffers, such as Hash.update(). A remote attacker could exploit this to cause a buffer overflow, potentially leading to a denial of service.

7.3 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
CWE-131 - Incorrect Calculation of Buffer Size
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-39979

A flaw was found in jq, a command line JSON processor, specifically in the libjq API. Parsing a malformed JSON input from a non-NUL-terminated buffer using the `jv_parse_sized` function can cause an out-of-bounds read, resulting in an application crash and a possible memory disclosure within the error message generated by the parser.

8.2 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H
CWE-125 - Out-of-bounds Read
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-40164

A flaw was found in jq, a command-line JSON processor. A remote attacker could exploit this vulnerability by providing a specially crafted JSON object. This object leverages a weakness in jq's hashing algorithm, which uses a hardcoded, publicly known seed. By crafting the JSON object to cause hash collisions, an attacker can degrade the performance of JSON object hash table operations, leading to significant CPU exhaustion and a denial of service (DoS) for systems processing the malicious JSON data.

7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE-341 - Predictable from Observable State
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-44431

A flaw was found in urllib3, an HTTP client library for Python. When using the low-level API via `ProxyManager.connection_from_url().urlopen()` with `assert_same_host=False`, cross-origin redirects can still forward sensitive headers. This could allow a remote attacker to gain unauthorized access to sensitive information.

5.9 (Medium)
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N
CWE-201 - Insertion of Sensitive Information Into Sent Data
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Threats
Impact Moderate
CVE-2026-44432

A flaw was found in urllib3, an HTTP client library for Python. This vulnerability allows a remote attacker to cause excessive resource consumption, such as high CPU usage and massive memory allocation, on the client side. This occurs when urllib3 attempts to decompress an entire HTTP response, even if only a partial read was requested, or when draining the connection after a partial decompression. This can lead to a Denial of Service (DoS) condition.

7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE-409 - Improper Handling of Highly Compressed Data (Data Amplification)
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Threats
Impact Important
CVE-2026-48526

A flaw was found in PyJWT, a Python library for JSON Web Token (JWT) implementation. When decoding JWTs, the library fails to validate the use of JSON Web Keys (JWK) in the HMAC algorithm while also supporting asymmetric algorithms. This allows a remote attacker to use the issuer's public key as the secret key for the HMAC algorithm, leading to the ability to forge JWTs. This vulnerability can result in authentication bypass or unauthorized access.

7.4 (High)
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N
CWE-347 - Improper Verification of Cryptographic Signature
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Threats
Impact Important
CVE-2026-48710

A flaw was found in Starlette, a lightweight ASGI (Asynchronous Server Gateway Interface) framework. A remote attacker could exploit this vulnerability by sending a specially crafted HTTP `Host` request header. This malformed header could cause the `request.url` to be incorrectly reconstructed, leading to a discrepancy with the actual requested path. Consequently, security restrictions enforced by middleware and endpoints that rely on `request.url` for validation could be bypassed, potentially allowing unauthorized access or actions.

6.5 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N
CWE-1289 - Improper Validation of Unsafe Equivalence in Input
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Critical
CVE-2026-48746

A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). This vulnerability, residing in ASGI web servers and Starlette's trust in them, allows an attacker to bypass the OpenAI API Authentication Middleware. This bypass enables unauthorized access to the API without requiring the configured VLLM_API_KEY or --api-key, leading to critical unauthorized operations.

9.1 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H
CWE-501 - Trust Boundary Violation
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-48818

A flaw was found in Starlette, a lightweight ASGI framework. On Windows systems, the StaticFiles component is vulnerable to Server-Side Request Forgery (SSRF). A remote attacker can exploit this by providing a specially crafted Universal Naming Convention (UNC) path, which causes the system to initiate an outbound Server Message Block (SMB) connection. This action can expose the service account's NTLMv2 credentials, potentially leading to information disclosure or further attacks.

7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
CWE-918 - Server-Side Request Forgery (SSRF)
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 —
Vendor Fix fix
Workaround
Threats
Impact Important
References
URL Category
https://access.redhat.com/errata/RHSA-2026:30089 self
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https://nvd.nist.gov/vuln/detail/CVE-2026-44431 external
https://github.com/urllib3/urllib3/security/advis… external
https://access.redhat.com/security/cve/CVE-2026-44432 self
https://bugzilla.redhat.com/show_bug.cgi?id=2477154 external
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https://nvd.nist.gov/vuln/detail/CVE-2026-44432 external
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https://access.redhat.com/security/cve/CVE-2026-48526 self
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https://nvd.nist.gov/vuln/detail/CVE-2026-48526 external
https://github.com/jpadilla/pyjwt/security/adviso… external
https://access.redhat.com/security/cve/CVE-2026-48710 self
https://bugzilla.redhat.com/show_bug.cgi?id=2481742 external
https://www.cve.org/CVERecord?id=CVE-2026-48710 external
https://nvd.nist.gov/vuln/detail/CVE-2026-48710 external
https://badhost.org external
https://github.com/Kludex/starlette/commit/764dab… external
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https://github.com/pypa/advisory-database/tree/ma… external
https://ostif.org/disclosing-the-badhost-vulnerab… external
https://www.secwest.net/starlette external
https://www.x41-dsec.de/lab/advisories/x41-2026-0… external
https://access.redhat.com/security/cve/CVE-2026-48746 self
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https://nvd.nist.gov/vuln/detail/CVE-2026-48746 external
https://github.com/vllm-project/vllm/pull/43426 external
https://github.com/vllm-project/vllm/security/adv… external
https://x41-dsec.de/lab/advisories/x41-2026-002-s… external
https://access.redhat.com/security/cve/CVE-2026-48818 self
https://bugzilla.redhat.com/show_bug.cgi?id=2490020 external
https://www.cve.org/CVERecord?id=CVE-2026-48818 external
https://nvd.nist.gov/vuln/detail/CVE-2026-48818 external
https://github.com/Kludex/starlette/commit/fd5316… external
https://github.com/Kludex/starlette/pull/3287 external
https://github.com/Kludex/starlette/releases/tag/1.1.0 external
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Acknowledgments
Quang Luong PrymEvol
Ali Raza
AISLE Research
To clipboard 

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      "acknowledgments": [
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          "names": [
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            "PrymEvol"
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        }
      ],
      "cve": "CVE-2026-4775",
      "cwe": {
        "id": "CWE-190",
        "name": "Integer Overflow or Wraparound"
      },
      "discovery_date": "2026-03-24T14:23:23.826000+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2450768"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in the libtiff library. A remote attacker could exploit a signed integer overflow vulnerability in the putcontig8bitYCbCr44tile function by providing a specially crafted TIFF file. This flaw can lead to an out-of-bounds heap write due to incorrect memory pointer calculations, potentially causing a denial of service (application crash) or arbitrary code execution.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "libtiff: libtiff: Arbitrary code execution or denial of service via signed integer overflow in TIFF file processing",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "A flaw in the libtiff library, affecting the processing of specially crafted TIFF files, could lead to a denial of service or potentially arbitrary code execution. This vulnerability, caused by a signed integer overflow during TIFF image processing, results in an out-of-bounds heap write. Red Hat products that process untrusted TIFF files using libtiff may be impacted.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
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          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-4775"
        },
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          "category": "external",
          "summary": "RHBZ#2450768",
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          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-4775",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-4775"
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          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-4775",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-4775"
        }
      ],
      "release_date": "2026-03-24T14:33:35.730000+00:00",
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          "category": "vendor_fix",
          "date": "2026-06-25T19:32:31+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30089",
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        },
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          "details": "To mitigate this issue, avoid processing untrusted or maliciously crafted TIFF files with applications linked against the libtiff library. If processing untrusted TIFF files is unavoidable, consider running the affected applications within a sandboxed environment to limit the potential impact of successful exploitation. This operational control helps contain the effects of an out-of-bounds write, reducing the risk of denial of service or arbitrary code execution.",
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            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
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            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
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          "details": "Important"
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    },
    {
      "cve": "CVE-2026-4786",
      "cwe": {
        "id": "CWE-88",
        "name": "Improper Neutralization of Argument Delimiters in a Command (\u0027Argument Injection\u0027)"
      },
      "discovery_date": "2026-04-13T22:01:38.006388+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2458049"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in the Python webbrowser.open() API. If a specially crafted URL containing \"%action\" is processed, an attacker could bypass a previous mitigation for CVE-2026-4519. This bypass allows for command injection into the underlying shell, potentially leading to arbitrary code execution.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "python: cpython: Python: Arbitrary code execution via command injection in webbrowser.open() API",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This flaw in the Python `webbrowser.open()` API allows for command injection and arbitrary code execution when processing specially crafted URLs containing \"%action\". This bypasses a previous mitigation for CVE-2026-4519.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
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          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-4786"
        },
        {
          "category": "external",
          "summary": "RHBZ#2458049",
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          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-4786",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-4786"
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          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-4786",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-4786"
        },
        {
          "category": "external",
          "summary": "https://github.com/python/cpython/issues/148169",
          "url": "https://github.com/python/cpython/issues/148169"
        },
        {
          "category": "external",
          "summary": "https://github.com/python/cpython/pull/148170",
          "url": "https://github.com/python/cpython/pull/148170"
        },
        {
          "category": "external",
          "summary": "https://mail.python.org/archives/list/security-announce@python.org/thread/JQDUNJVB4AQNTJECSUKOBDU3XCJIPSE5/",
          "url": "https://mail.python.org/archives/list/security-announce@python.org/thread/JQDUNJVB4AQNTJECSUKOBDU3XCJIPSE5/"
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      "release_date": "2026-04-13T21:52:19.036000+00:00",
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          "date": "2026-06-25T19:32:31+00:00",
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            "version": "3.1"
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      "title": "python: cpython: Python: Arbitrary code execution via command injection in webbrowser.open() API"
    },
    {
      "acknowledgments": [
        {
          "names": [
            "Ali Raza"
          ]
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        "id": "CWE-367",
        "name": "Time-of-check Time-of-use (TOCTOU) Race Condition"
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      "discovery_date": "2026-03-26T06:56:21.213270+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2451615"
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          "category": "description",
          "text": "A flaw was found in libcap. A local unprivileged user can exploit a Time-of-check-to-time-of-use (TOCTOU) race condition in the `cap_set_file()` function. This allows an attacker with write access to a parent directory to redirect file capability updates to an attacker-controlled file. By doing so, capabilities can be injected into or stripped from unintended executables, leading to privilege escalation.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "libcap: libcap: Privilege escalation via TOCTOU race condition in cap_set_file()",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This is an Important flaw. A Time-of-Check-to-Time-of-Use (TOCTOU) race condition in libcap\u0027s cap_set_file() allows a local unprivileged user to escalate privileges. An attacker with write access to a parent directory can exploit a narrow window during file capability updates to redirect capabilities to an attacker-controlled file. This can lead to the injection of elevated privileges into an unintended executable when privileged processes, such as setcap or container tooling, invoke cap_set_file() on attacker-influenced paths.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
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          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-4878",
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          "details": "Important"
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      "title": "libcap: libcap: Privilege escalation via TOCTOU race condition in cap_set_file()"
    },
    {
      "cve": "CVE-2026-6100",
      "cwe": {
        "id": "CWE-825",
        "name": "Expired Pointer Dereference"
      },
      "discovery_date": "2026-04-13T18:01:31.970255+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2457932"
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        {
          "category": "description",
          "text": "A flaw was found in Python\u0027s decompression modules, including `lzma.LZMADecompressor`, `bz2.BZ2Decompressor`, and `gzip.GzipFile`. This vulnerability, a use-after-free, can occur if a program attempts to re-use a decompression object after a memory allocation error, especially when the system is experiencing high memory usage. Exploitation of this flaw could potentially allow an attacker to execute arbitrary code or access sensitive data. The vulnerability is only present if the program re-uses decompressor instances across multiple decompression calls even after a `MemoryError` is raised during decompression. Using the helper functions to one-shot decompress data such as `lzma.decompress()`, `bz2.decompress()`, `gzip.decompress()`, and `zlib.decompress()` are not affected as a new decompressor instance is used per call. If the decompressor instance is not re-used after an error condition, this usage is similarly not vulnerable.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "python: Python: Arbitrary code execution or information disclosure via use-after-free in decompression modules",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "The severity of this flaw is somewhat mitigated on Red Hat platforms. By default processes are not executed with root user privilege and are limited in their scope which in turn limits the impact of this flaw.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
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          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-6100",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-6100"
        },
        {
          "category": "external",
          "summary": "https://github.com/python/cpython/commit/6a5f79c8d7bbf22b083b240910c7a8781a59437d",
          "url": "https://github.com/python/cpython/commit/6a5f79c8d7bbf22b083b240910c7a8781a59437d"
        },
        {
          "category": "external",
          "summary": "https://github.com/python/cpython/commit/8fc66aef6d7b3ae58f43f5c66f9366cc8cbbfcd2",
          "url": "https://github.com/python/cpython/commit/8fc66aef6d7b3ae58f43f5c66f9366cc8cbbfcd2"
        },
        {
          "category": "external",
          "summary": "https://github.com/python/cpython/commit/c3cf71c3366fe49acb776a639405c0eea6169c20",
          "url": "https://github.com/python/cpython/commit/c3cf71c3366fe49acb776a639405c0eea6169c20"
        },
        {
          "category": "external",
          "summary": "https://github.com/python/cpython/issues/148395",
          "url": "https://github.com/python/cpython/issues/148395"
        },
        {
          "category": "external",
          "summary": "https://github.com/python/cpython/pull/148396",
          "url": "https://github.com/python/cpython/pull/148396"
        },
        {
          "category": "external",
          "summary": "https://mail.python.org/archives/list/security-announce@python.org/thread/HTWB2Z6KT5QQX4RYEZAFININDHNOSIF3/",
          "url": "https://mail.python.org/archives/list/security-announce@python.org/thread/HTWB2Z6KT5QQX4RYEZAFININDHNOSIF3/"
        }
      ],
      "release_date": "2026-04-13T17:15:47.606000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-06-25T19:32:31+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30089",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30089"
        },
        {
          "category": "workaround",
          "details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.1,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "python: Python: Arbitrary code execution or information disclosure via use-after-free in decompression modules"
    },
    {
      "acknowledgments": [
        {
          "names": [
            "AISLE Research"
          ],
          "summary": "This issue was discovered by Red Hat."
        }
      ],
      "cve": "CVE-2026-10118",
      "cwe": {
        "id": "CWE-190",
        "name": "Integer Overflow or Wraparound"
      },
      "discovery_date": "2026-04-21T23:20:23+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2460428"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in Poppler\u0027s Splash backend. A remote attacker could exploit this vulnerability by crafting a malicious PDF file that, when rendered, triggers an integer overflow in the `tilingPatternFill` function. This overflow leads to an undersized heap memory allocation, allowing a subsequent out-of-bounds write. Successful exploitation could result in arbitrary code execution, information disclosure, or denial of service within the context of the application processing the PDF.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "poppler: Integer overflow in Poppler SplashOutputDev::tilingPatternFill leads to heap buffer overflow via unchecked dimension multiplication",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This is an Important heap-based memory corruption flaw in Poppler\u0027s Splash backend. Processing a specially crafted PDF document can lead to an integer overflow, resulting in an undersized heap allocation and a subsequent out-of-bounds write. This could allow an attacker to achieve arbitrary code execution, disclose sensitive information, or cause a denial of service within the context of the application rendering the PDF. To successfully exploit this vulnerability the attacker needs to be able to supply the maliciously crafted PDF file to the application consuming poppler or trick the user to process the PDF file using the Poppler\u0027s backend.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-10118"
        },
        {
          "category": "external",
          "summary": "RHBZ#2460428",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2460428"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-10118",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-10118"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-10118",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-10118"
        },
        {
          "category": "external",
          "summary": "https://gitlab.freedesktop.org/poppler/poppler/-/work_items/1715",
          "url": "https://gitlab.freedesktop.org/poppler/poppler/-/work_items/1715"
        }
      ],
      "release_date": "2026-06-01T15:25:35.578000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-06-25T19:32:31+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30089",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30089"
        },
        {
          "category": "workaround",
          "details": "To mitigate this issue, users should avoid opening untrusted or suspicious PDF documents with applications that utilize the Poppler library for rendering. Limiting exposure to untrusted content can reduce the risk of exploitation.",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "poppler: Integer overflow in Poppler SplashOutputDev::tilingPatternFill leads to heap buffer overflow via unchecked dimension multiplication"
    },
    {
      "cve": "CVE-2026-22778",
      "cwe": {
        "id": "CWE-209",
        "name": "Generation of Error Message Containing Sensitive Information"
      },
      "discovery_date": "2026-02-03T00:01:43.512265+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2436113"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). A remote attacker can exploit this vulnerability by sending a specially crafted video URL to vLLM\u0027s multimodal endpoint. This action causes vLLM to leak a heap memory address, significantly reducing the effectiveness of Address Space Layout Randomization (ASLR). This information disclosure can then be chained with a heap overflow vulnerability to achieve remote code execution.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vLLM: vLLM: Remote code execution via invalid image processing in the multimodal endpoint.",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This vulnerability is rated Critical rather than Important because it allows unauthenticated remote code execution without requiring user interaction, ultimately leading to full compromise of the affected system. An attacker can provide a malicious video URL to a vulnerable vLLM inference endpoint, which causes the service to automatically retrieve and process attacker-controlled media content. During decoding, a heap overflow is triggered in the underlying video processing stack, enabling corruption of heap memory and potential overwriting of control structures to execute arbitrary commands on the host. In addition, an information disclosure condition can leak memory addresses, significantly weakening ASLR protections and making exploitation more reliable when combined with the heap overflow. Successful exploitation compromises the confidentiality, integrity, and availability of the system and can impact deployments such as Red Hat AI Inference Server, Red Hat Enterprise Linux AI, and Red Hat OpenShift AI, thereby meeting Red Hat\u2019s criteria for Critical severity rather than Important impact.\n\nThe vLLM vulnerability depends on CVE-2025-9951, as processing attacker-controlled media can trigger the JPEG2000 decoder heap overflow, which can then be exploited within the vLLM video handling pipeline to cause memory corruption and potentially achieve remote code execution.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-22778"
        },
        {
          "category": "external",
          "summary": "RHBZ#2436113",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2436113"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-22778",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-22778"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-22778",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-22778"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/pull/31987",
          "url": "https://github.com/vllm-project/vllm/pull/31987"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/pull/32319",
          "url": "https://github.com/vllm-project/vllm/pull/32319"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/releases/tag/v0.14.1",
          "url": "https://github.com/vllm-project/vllm/releases/tag/v0.14.1"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-4r2x-xpjr-7cvv",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-4r2x-xpjr-7cvv"
        }
      ],
      "release_date": "2026-02-02T21:09:53.265000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-06-25T19:32:31+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30089",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30089"
        },
        {
          "category": "workaround",
          "details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability.",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
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        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9.8,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Critical"
        }
      ],
      "title": "vLLM: vLLM: Remote code execution via invalid image processing in the multimodal endpoint."
    },
    {
      "cve": "CVE-2026-22807",
      "cwe": {
        "id": "CWE-94",
        "name": "Improper Control of Generation of Code (\u0027Code Injection\u0027)"
      },
      "discovery_date": "2026-01-21T22:00:55.823882+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2431865"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). This vulnerability allows a remote attacker to achieve arbitrary code execution on the vLLM host during model loading. This occurs because vLLM loads Hugging Face `auto_map` dynamic modules without properly validating the `trust_remote_code` setting. By influencing the model repository or path, an attacker can execute malicious Python code at server startup, even before any API requests are handled.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vLLM: vLLM: Arbitrary code execution via untrusted model loading",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This vulnerability is rated Important for Red Hat as vLLM, an inference and serving engine for large language models, is vulnerable to arbitrary code execution. An attacker influencing the model repository or path can execute malicious Python code during server startup, affecting vLLM versions 0.10.1 through 0.13.x.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-22807"
        },
        {
          "category": "external",
          "summary": "RHBZ#2431865",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2431865"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-22807",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-22807"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-22807",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-22807"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/commit/78d13ea9de4b1ce5e4d8a5af9738fea71fb024e5",
          "url": "https://github.com/vllm-project/vllm/commit/78d13ea9de4b1ce5e4d8a5af9738fea71fb024e5"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/pull/32194",
          "url": "https://github.com/vllm-project/vllm/pull/32194"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/releases/tag/v0.14.0",
          "url": "https://github.com/vllm-project/vllm/releases/tag/v0.14.0"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-2pc9-4j83-qjmr",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-2pc9-4j83-qjmr"
        }
      ],
      "release_date": "2026-01-21T21:13:11.894000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-06-25T19:32:31+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30089",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30089"
        },
        {
          "category": "workaround",
          "details": "To mitigate this issue, ensure that vLLM instances are configured to load models only from trusted and verified repositories. Restrict access to the model repository path to prevent unauthorized modification or introduction of malicious code. Implement strict access controls and integrity checks for all model sources.",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vLLM: vLLM: Arbitrary code execution via untrusted model loading"
    },
    {
      "cve": "CVE-2026-24779",
      "cwe": {
        "id": "CWE-918",
        "name": "Server-Side Request Forgery (SSRF)"
      },
      "discovery_date": "2026-01-27T23:00:53.998772+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2433624"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). A Server-Side Request Forgery (SSRF) vulnerability exists in the MediaConnector class, specifically within the load_from_url and load_from_url_async methods. An attacker can exploit differing interpretations of backslashes by Python parsing libraries used for host restrictions to bypass these restrictions. This allows the attacker to force the vLLM server to make arbitrary requests to internal network resources, potentially leading to information disclosure, denial of service, or unauthorized access within containerized environments.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vLLM: vLLM: Server-Side Request Forgery allows internal network access",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This IMPORTANT Server-Side Request Forgery (SSRF) vulnerability in vLLM\u0027s `MediaConnector` allows an attacker to bypass host restrictions when processing user-provided URLs. This enables the vLLM server to be coerced into making arbitrary requests to internal network resources. This is critical in containerized deployments, including Red Hat AI Inference Server, Red Hat Enterprise Linux AI, and Red Hat OpenShift AI, where it could facilitate internal network reconnaissance and unauthorized access to other services.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-24779"
        },
        {
          "category": "external",
          "summary": "RHBZ#2433624",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2433624"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-24779",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-24779"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-24779",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24779"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/commit/f46d576c54fb8aeec5fc70560e850bed38ef17d7",
          "url": "https://github.com/vllm-project/vllm/commit/f46d576c54fb8aeec5fc70560e850bed38ef17d7"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/pull/32746",
          "url": "https://github.com/vllm-project/vllm/pull/32746"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfc",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfc"
        }
      ],
      "release_date": "2026-01-27T22:01:13.808000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-06-25T19:32:31+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30089",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30089"
        },
        {
          "category": "workaround",
          "details": "To mitigate this issue, restrict network access to the vLLM service to only trusted clients. Implement strict network segmentation for vLLM pods in containerized environments to limit potential lateral movement. Ensure that vLLM instances are not exposed to untrusted external networks without proper access controls and input validation at the perimeter.",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "LOW",
            "baseScore": 7.1,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vLLM: vLLM: Server-Side Request Forgery allows internal network access"
    },
    {
      "cve": "CVE-2026-34588",
      "cwe": {
        "id": "CWE-190",
        "name": "Integer Overflow or Wraparound"
      },
      "discovery_date": "2026-04-06T16:02:38.673068+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2455408"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in OpenEXR, an image storage format for the motion picture industry. A remote attacker could exploit an integer overflow vulnerability in the `internal_exr_undo_piz()` function by providing a specially crafted EXR file. This flaw leads to out-of-bounds reads and writes, which may allow for arbitrary code execution or sensitive information disclosure.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "OpenEXR: OpenEXR: Arbitrary code execution and information disclosure via crafted EXR file",
          "title": "Vulnerability summary"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-34588"
        },
        {
          "category": "external",
          "summary": "RHBZ#2455408",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2455408"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-34588",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-34588"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-34588",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34588"
        },
        {
          "category": "external",
          "summary": "https://github.com/AcademySoftwareFoundation/openexr/security/advisories/GHSA-588r-cr5c-w6hf",
          "url": "https://github.com/AcademySoftwareFoundation/openexr/security/advisories/GHSA-588r-cr5c-w6hf"
        }
      ],
      "release_date": "2026-04-06T15:31:57.602000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-06-25T19:32:31+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30089",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30089"
        },
        {
          "category": "workaround",
          "details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "OpenEXR: OpenEXR: Arbitrary code execution and information disclosure via crafted EXR file"
    },
    {
      "cve": "CVE-2026-34982",
      "cwe": {
        "id": "CWE-78",
        "name": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)"
      },
      "discovery_date": "2026-04-06T16:02:10.004743+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2455400"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in Vim. A modeline is used to set specific editor options directly from a text file. However, the `complete`, `guitabtooltip`, `printheader` options and the `mapset` function lack proper security checks, allowing an attacker to bypass restrictions and cause arbitrary OS command execution.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vim: arbitrary command execution via modeline sandbox bypass",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "To exploit this vulnerability, an attacker needs to convince a user to open a specially crafted file. The arbitrary OS command execution is restricted to the privileges of the user running Vim, limiting the potential of a full system compromise.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-34982"
        },
        {
          "category": "external",
          "summary": "RHBZ#2455400",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2455400"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-34982",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-34982"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-34982",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34982"
        },
        {
          "category": "external",
          "summary": "http://www.openwall.com/lists/oss-security/2026/04/01/1",
          "url": "http://www.openwall.com/lists/oss-security/2026/04/01/1"
        },
        {
          "category": "external",
          "summary": "https://github.com/vim/vim/commit/75661a66a1db1e1f3f1245c615",
          "url": "https://github.com/vim/vim/commit/75661a66a1db1e1f3f1245c615"
        },
        {
          "category": "external",
          "summary": "https://github.com/vim/vim/releases/tag/v9.2.0276",
          "url": "https://github.com/vim/vim/releases/tag/v9.2.0276"
        },
        {
          "category": "external",
          "summary": "https://github.com/vim/vim/security/advisories/GHSA-8h6p-m6gr-mpw9",
          "url": "https://github.com/vim/vim/security/advisories/GHSA-8h6p-m6gr-mpw9"
        }
      ],
      "release_date": "2026-04-06T15:16:48.809000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-06-25T19:32:31+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30089",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30089"
        },
        {
          "category": "workaround",
          "details": "To mitigate this issue, disable the modeline support by adding the following command to the Vim configuration file:\n\n~~~\nset nomodeline\n~~~",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "NONE",
            "baseScore": 8.2,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:N",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vim: arbitrary command execution via modeline sandbox bypass"
    },
    {
      "cve": "CVE-2026-35385",
      "cwe": {
        "id": "CWE-281",
        "name": "Improper Preservation of Permissions"
      },
      "discovery_date": "2026-04-02T17:01:07.052864+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2454469"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in OpenSSH. When the `scp` command is used by a root user to download a file with the legacy protocol option (`-O`) and without preserving original file permissions (`-p`), the downloaded file can be installed with elevated privileges (setuid or setgid). This unexpected behavior could allow a malicious file to execute with higher permissions than intended, posing a security risk through potential privilege escalation.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "OpenSSH: OpenSSH: Privilege escalation via scp legacy protocol when not preserving file mode",
          "title": "Vulnerability summary"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-35385"
        },
        {
          "category": "external",
          "summary": "RHBZ#2454469",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2454469"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-35385",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-35385"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-35385",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-35385"
        },
        {
          "category": "external",
          "summary": "https://marc.info/?l=openssh-unix-dev\u0026m=177513443901484\u0026w=2",
          "url": "https://marc.info/?l=openssh-unix-dev\u0026m=177513443901484\u0026w=2"
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        "id": "CWE-190",
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          "category": "description",
          "text": "A flaw was found in the libsndfile library. An integer overflow in the IMA ADPCM codec can occur when a specially crafted WAV audio file is processed, specifically with malicious samplesperblock and blocks values. This can lead to a heap-based buffer overflow, causing a crash to the application linked to the library and memory corruption.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "libsndfile: integer overflow in ima_reader_init()",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "To exploit this issue, an attacker needs to be able to process a malicious WAV file with an application linked to the libsndfile library.\n\nDefault Red Hat Enterprise Linux security features, including SELinux enforcement, Address Space Layout Randomization (ASLR) and NX (No-Execute) stack protection, significantly increase the difficulty of achieving arbitrary code execution, limiting the impact of this vulnerability.\n\nDue to these reasons, this flaw has been rated with an important severity.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
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          "category": "external",
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          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-37555"
        },
        {
          "category": "external",
          "summary": "https://github.com/libsndfile/libsndfile/commit/9a829113c88a51e57c1e46473e90609e4b7df151",
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          "category": "external",
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      "cve": "CVE-2026-39892",
      "cwe": {
        "id": "CWE-131",
        "name": "Incorrect Calculation of Buffer Size"
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          "text": "A flaw was found in the cryptography library. This vulnerability occurs when a non-contiguous buffer is passed to certain application programming interfaces (APIs) that accept Python buffers, such as Hash.update(). A remote attacker could exploit this to cause a buffer overflow, potentially leading to a denial of service.",
          "title": "Vulnerability description"
        },
        {
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          "text": "cryptography: Cryptography: Buffer overflow via non-contiguous buffer in API",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "In default configurations Red Hat products isolate service processes from total system access. Should an attacker be able to exploit this vulnerability their impact will be limited to that service account and they will not have access to the broader system.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
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          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-39892"
        },
        {
          "category": "external",
          "summary": "http://www.openwall.com/lists/oss-security/2026/04/08/12",
          "url": "http://www.openwall.com/lists/oss-security/2026/04/08/12"
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          "summary": "https://github.com/pyca/cryptography/commit/622d672e429a7cff836a23c5903683dbec1901f5",
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      "cve": "CVE-2026-39979",
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        "id": "CWE-125",
        "name": "Out-of-bounds Read"
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      "discovery_date": "2026-04-13T23:01:01.219840+00:00",
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          "title": "Vulnerability summary"
        },
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          "text": "To exploit this flaw, an attacker needs to supply malformed JSON from a non-NUL-terminated buffer to an application using the `jv_parse_sized` function. This allows the attacker to trigger the out-of-bounds read, causing an application crash and potentially disclosing memory with no other security impact. As this issue affects the libjq library, it is more likely to be exposed to untrusted input. Due to these reasons, this vulnerability has been rated with an important severity.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
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            "privilegesRequired": "NONE",
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      "title": "jq: out-of-bounds read in jv_parse_sized() on error formatting for non-NUL-terminated buffers"
    },
    {
      "cve": "CVE-2026-40164",
      "cwe": {
        "id": "CWE-341",
        "name": "Predictable from Observable State"
      },
      "discovery_date": "2026-04-14T00:01:04.003115+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2458084"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in jq, a command-line JSON processor. A remote attacker could exploit this vulnerability by providing a specially crafted JSON object. This object leverages a weakness in jq\u0027s hashing algorithm, which uses a hardcoded, publicly known seed. By crafting the JSON object to cause hash collisions, an attacker can degrade the performance of JSON object hash table operations, leading to significant CPU exhaustion and a denial of service (DoS) for systems processing the malicious JSON data.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "jq: jq: Denial of Service via crafted JSON object causing hash collisions",
          "title": "Vulnerability summary"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
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      },
      "references": [
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          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-40164"
        },
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          "category": "external",
          "summary": "RHBZ#2458084",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2458084"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-40164",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-40164"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-40164",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-40164"
        },
        {
          "category": "external",
          "summary": "https://github.com/jqlang/jq/commit/0c7d133c3c7e37c00b6d46b658a02244fdd3c784",
          "url": "https://github.com/jqlang/jq/commit/0c7d133c3c7e37c00b6d46b658a02244fdd3c784"
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        {
          "category": "external",
          "summary": "https://github.com/jqlang/jq/security/advisories/GHSA-wwj8-gxm6-jc29",
          "url": "https://github.com/jqlang/jq/security/advisories/GHSA-wwj8-gxm6-jc29"
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      "remediations": [
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          "category": "vendor_fix",
          "date": "2026-06-25T19:32:31+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30089",
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          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30089"
        },
        {
          "category": "workaround",
          "details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
          "product_ids": [
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      "scores": [
        {
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            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
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        }
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        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "jq: jq: Denial of Service via crafted JSON object causing hash collisions"
    },
    {
      "cve": "CVE-2026-44431",
      "cwe": {
        "id": "CWE-201",
        "name": "Insertion of Sensitive Information Into Sent Data"
      },
      "discovery_date": "2026-05-13T17:01:41.663622+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2477167"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in urllib3, an HTTP client library for Python. When using the low-level API via `ProxyManager.connection_from_url().urlopen()` with `assert_same_host=False`, cross-origin redirects can still forward sensitive headers. This could allow a remote attacker to gain unauthorized access to sensitive information.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "urllib3: urllib3: Information disclosure via cross-origin redirects forwarding sensitive headers",
          "title": "Vulnerability summary"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
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          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-44431"
        },
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          "category": "external",
          "summary": "RHBZ#2477167",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477167"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-44431",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-44431"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-44431",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-44431"
        },
        {
          "category": "external",
          "summary": "https://github.com/urllib3/urllib3/security/advisories/GHSA-qccp-gfcp-xxvc",
          "url": "https://github.com/urllib3/urllib3/security/advisories/GHSA-qccp-gfcp-xxvc"
        }
      ],
      "release_date": "2026-05-13T15:20:24.588000+00:00",
      "remediations": [
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          "category": "vendor_fix",
          "date": "2026-06-25T19:32:31+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30089",
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      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 5.9,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N",
            "version": "3.1"
          },
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      ],
      "threats": [
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          "category": "impact",
          "details": "Moderate"
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      ],
      "title": "urllib3: urllib3: Information disclosure via cross-origin redirects forwarding sensitive headers"
    },
    {
      "cve": "CVE-2026-44432",
      "cwe": {
        "id": "CWE-409",
        "name": "Improper Handling of Highly Compressed Data (Data Amplification)"
      },
      "discovery_date": "2026-05-13T17:01:01.083841+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2477154"
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      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in urllib3, an HTTP client library for Python. This vulnerability allows a remote attacker to cause excessive resource consumption, such as high CPU usage and massive memory allocation, on the client side. This occurs when urllib3 attempts to decompress an entire HTTP response, even if only a partial read was requested, or when draining the connection after a partial decompression. This can lead to a Denial of Service (DoS) condition.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "urllib3: urllib3: Denial of Service due to excessive HTTP response decompression",
          "title": "Vulnerability summary"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
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          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-44432"
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          "category": "external",
          "summary": "RHBZ#2477154",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477154"
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          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-44432",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-44432"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-44432",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-44432"
        },
        {
          "category": "external",
          "summary": "https://github.com/urllib3/urllib3/security/advisories/GHSA-mf9v-mfxr-j63j",
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            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
            "version": "3.1"
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      "title": "urllib3: urllib3: Denial of Service due to excessive HTTP response decompression"
    },
    {
      "cve": "CVE-2026-48526",
      "cwe": {
        "id": "CWE-347",
        "name": "Improper Verification of Cryptographic Signature"
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      "discovery_date": "2026-05-28T16:01:22.805235+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2482734"
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        {
          "category": "description",
          "text": "A flaw was found in PyJWT, a Python library for JSON Web Token (JWT) implementation. When decoding JWTs, the library fails to validate the use of JSON Web Keys (JWK) in the HMAC algorithm while also supporting asymmetric algorithms. This allows a remote attacker to use the issuer\u0027s public key as the secret key for the HMAC algorithm, leading to the ability to forge JWTs. This vulnerability can result in authentication bypass or unauthorized access.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "python-pyjwt: PyJWT: Authentication bypass due to forged JSON Web Tokens",
          "title": "Vulnerability summary"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
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          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-48526"
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        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-48526",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-48526"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-48526",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-48526"
        },
        {
          "category": "external",
          "summary": "https://github.com/jpadilla/pyjwt/security/advisories/GHSA-xgmm-8j9v-c9wx",
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            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N",
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    },
    {
      "cve": "CVE-2026-48710",
      "cwe": {
        "id": "CWE-1289",
        "name": "Improper Validation of Unsafe Equivalence in Input"
      },
      "discovery_date": "2026-05-26T23:01:03.204374+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2481742"
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        {
          "category": "description",
          "text": "A flaw was found in Starlette, a lightweight ASGI (Asynchronous Server Gateway Interface) framework. A remote attacker could exploit this vulnerability by sending a specially crafted HTTP `Host` request header. This malformed header could cause the `request.url` to be incorrectly reconstructed, leading to a discrepancy with the actual requested path. Consequently, security restrictions enforced by middleware and endpoints that rely on `request.url` for validation could be bypassed, potentially allowing unauthorized access or actions.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "starlette: Starlette: Security restriction bypass via malformed HTTP Host header",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "The impact is rated as Critical because path-based authentication and access control middleware can be completely bypassed by an unauthenticated remote attacker using a crafted HTTP Host header.\n\nStarlette reconstructs `request.url` by combining the HTTP Host header value with the request path, but performs no validation on the Host header. An attacker can inject path separators or query characters into the Host header (e.g., `Host: example.com/health?x=`), causing `request.url.path` to return a value that differs from the actual HTTP `request path` used for routing. Middleware that enforces authentication or authorization decisions based on `request.url.path` will evaluate the injected path rather than the real one, allowing the attacker to reach protected endpoints.\n\nWith regard to CVSS metrics, the Attack Vector (AV) is Network and Privileges Required (PR) is None, because the attack requires only the ability to send HTTP requests with a crafted Host header. User interaction is not required.\n\nRed Hat Satellite / Insights (IoP): The starlette package is included as a dependency of Connexion, but this flaw is rated Low impact because these services do not use path-based authentication middleware and all services are deployed behind reverse proxies. \n\nOpenShift Lightspeed (OLS): The starlette package is included as a dependency, but this flaw is rated Low impact because authentication is enforced via Kubernetes TokenReview/SubjectAccessReview through FastAPI dependency injection, not path-based middleware; request.url.path is only used for metrics and response header application.\n\nRHOAI Kubeflow Training images: starlette is being used as indirect dependency of mlflow, but this flaw is rated as Low impact because mlflow is used as client library only to store training metrics on remote server, it doesn\u0027t expose any endpoint.\n\nRHOAI odh-automl: The impact is reduced to Low since starlette is only used in the backend and it\u0027s transient dependency and starlette is not used at all to serve any endpoints.\n\nRHOAI odh-kserve-autogluon-server-rhel9: While the Starlette dependency is present in the build, the vulnerable code in starlette is not reachable. This reduces the impact to low.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-48710"
        },
        {
          "category": "external",
          "summary": "RHBZ#2481742",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2481742"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-48710",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-48710"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-48710",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-48710"
        },
        {
          "category": "external",
          "summary": "https://badhost.org",
          "url": "https://badhost.org"
        },
        {
          "category": "external",
          "summary": "https://github.com/Kludex/starlette/commit/764dab0dcfb9033d75442d7a359645c9f94648c6",
          "url": "https://github.com/Kludex/starlette/commit/764dab0dcfb9033d75442d7a359645c9f94648c6"
        },
        {
          "category": "external",
          "summary": "https://github.com/Kludex/starlette/security/advisories/GHSA-86qp-5c8j-p5mr",
          "url": "https://github.com/Kludex/starlette/security/advisories/GHSA-86qp-5c8j-p5mr"
        },
        {
          "category": "external",
          "summary": "https://github.com/pypa/advisory-database/tree/main/vulns/starlette/PYSEC-2026-161.yaml",
          "url": "https://github.com/pypa/advisory-database/tree/main/vulns/starlette/PYSEC-2026-161.yaml"
        },
        {
          "category": "external",
          "summary": "https://ostif.org/disclosing-the-badhost-vulnerability-in-starlette",
          "url": "https://ostif.org/disclosing-the-badhost-vulnerability-in-starlette"
        },
        {
          "category": "external",
          "summary": "https://www.secwest.net/starlette",
          "url": "https://www.secwest.net/starlette"
        },
        {
          "category": "external",
          "summary": "https://www.x41-dsec.de/lab/advisories/x41-2026-002-starlette",
          "url": "https://www.x41-dsec.de/lab/advisories/x41-2026-002-starlette"
        }
      ],
      "release_date": "2026-05-26T21:54:54.393000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-06-25T19:32:31+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30089",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30089"
        },
        {
          "category": "workaround",
          "details": "Deploying an RFC-compliant reverse proxy (such as nginx, Apache, HAProxy, or Caddy) in front of the ASGI server will reject malformed Host headers before they reach the application. This is the most straightforward mitigation that does not require code changes.\n\nIf custom middleware is present, it should be updated to use `request.scope[\"path\"]` instead of `request.url.path` for any security decisions. The ASGI scope path is derived from the HTTP request line and is not influenced by the Host header, so it reflects the actual request target.",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 6.5,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "LOW",
            "integrityImpact": "LOW",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Critical"
        }
      ],
      "title": "starlette: Starlette: Security restriction bypass via malformed HTTP Host header"
    },
    {
      "cve": "CVE-2026-48746",
      "cwe": {
        "id": "CWE-501",
        "name": "Trust Boundary Violation"
      },
      "discovery_date": "2026-06-22T23:00:57.824402+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2491581"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). This vulnerability, residing in ASGI web servers and Starlette\u0027s trust in them, allows an attacker to bypass the OpenAI API Authentication Middleware. This bypass enables unauthorized access to the API without requiring the configured VLLM_API_KEY or --api-key, leading to critical unauthorized operations.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vllm: starlette: vLLM: Critical authentication bypass allows unauthorized API access",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "CVE-2026-48746 is an authentication bypass in the vLLM OpenAI-compatible API server. A remote attacker who can reach the vLLM endpoint directly can craft a Host header so the authentication middleware checks a different URL path than the one actually dispatched, bypassing VLLM_API_KEY / --api-key protection. Successful exploitation allows unauthorized inference API access, which can result in confidentiality loss (model/prompt abuse) and availability impact (resource exhaustion). The flaw does not provide integrity compromise or arbitrary code execution. Exploitation requires vLLM API-key authentication to be enabled and the service to be exposed without an RFC-conforming reverse proxy that normalizes the Host header. Because Red Hat AI inference offerings are commonly deployed behind OpenShift Routes or similar proxies, and because the vulnerability is conditional on deployment and configuration, the overall flaw impact is rated Important rather than Critical.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-48746"
        },
        {
          "category": "external",
          "summary": "RHBZ#2491581",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2491581"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-48746",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-48746"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-48746",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-48746"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/pull/43426",
          "url": "https://github.com/vllm-project/vllm/pull/43426"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-94f4-hr76-p5j6",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-94f4-hr76-p5j6"
        },
        {
          "category": "external",
          "summary": "https://x41-dsec.de/lab/advisories/x41-2026-002-starlette",
          "url": "https://x41-dsec.de/lab/advisories/x41-2026-002-starlette"
        }
      ],
      "release_date": "2026-06-22T21:57:28.997000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-06-25T19:32:31+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30089",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30089"
        },
        {
          "category": "workaround",
          "details": "Restrict network access to the vLLM API endpoint to only trusted clients and internal networks. Implement firewall rules or network policies to limit inbound connections to the vLLM service, thereby reducing the attack surface. This operational control helps prevent unauthorized external access to the vulnerable API.",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9.1,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vllm: starlette: vLLM: Critical authentication bypass allows unauthorized API access"
    },
    {
      "cve": "CVE-2026-48818",
      "cwe": {
        "id": "CWE-918",
        "name": "Server-Side Request Forgery (SSRF)"
      },
      "discovery_date": "2026-06-17T19:03:44.998691+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2490020"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in Starlette, a lightweight ASGI framework. On Windows systems, the StaticFiles component is vulnerable to Server-Side Request Forgery (SSRF). A remote attacker can exploit this by providing a specially crafted Universal Naming Convention (UNC) path, which causes the system to initiate an outbound Server Message Block (SMB) connection. This action can expose the service account\u0027s NTLMv2 credentials, potentially leading to information disclosure or further attacks.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "starlette: Starlette: SSRF and NTLM credential theft via UNC paths in StaticFiles on Windows",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This Important flaw in Starlette\u0027s StaticFiles component, which allows for NTLMv2 credential theft via specially crafted UNC paths, does not affect Red Hat products. The vulnerability is specific to Windows operating systems, and the vulnerable code is not present in Red Hat\u0027s supported configurations.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-48818"
        },
        {
          "category": "external",
          "summary": "RHBZ#2490020",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2490020"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-48818",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-48818"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-48818",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-48818"
        },
        {
          "category": "external",
          "summary": "https://github.com/Kludex/starlette/commit/fd53168a7767b6b55ba5af787fd88f49e33cabc5",
          "url": "https://github.com/Kludex/starlette/commit/fd53168a7767b6b55ba5af787fd88f49e33cabc5"
        },
        {
          "category": "external",
          "summary": "https://github.com/Kludex/starlette/pull/3287",
          "url": "https://github.com/Kludex/starlette/pull/3287"
        },
        {
          "category": "external",
          "summary": "https://github.com/Kludex/starlette/releases/tag/1.1.0",
          "url": "https://github.com/Kludex/starlette/releases/tag/1.1.0"
        },
        {
          "category": "external",
          "summary": "https://github.com/Kludex/starlette/security/advisories/GHSA-wqp7-x3pw-xc5r",
          "url": "https://github.com/Kludex/starlette/security/advisories/GHSA-wqp7-x3pw-xc5r"
        }
      ],
      "release_date": "2026-06-17T17:50:12.399000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-06-25T19:32:31+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30089",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30089"
        },
        {
          "category": "workaround",
          "details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "starlette: Starlette: SSRF and NTLM credential theft via UNC paths in StaticFiles on Windows"
    }
  ]
}


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Tags
Taxonomy of the tags.





Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.