RHSA-2026:30087

Vulnerability from csaf_redhat - Published: 2026-06-25 19:29 - Updated: 2026-06-27 08:31
Summary
Red Hat Security Advisory: Red Hat AI Inference Server 3.3.5 (Spyre)
Severity
Critical
Notes
Topic: Red Hat AI Inference Server 3.3.5 (Spyre) is now available.
Details: Red Hat® AI Inference Server
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CVE-2025-62164

A vulnerability in vLLM allows attackers to supply malicious serialized prompt-embedding tensors that are deserialized using torch.load() without validation. Due to PyTorch 2.8.0 disabling sparse-tensor integrity checks by default, a crafted tensor can bypass bounds checks and cause an out-of-bounds write during to_dense(), leading to a crash (DoS) and potentially remote code execution on the vLLM server.

8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CWE-787 - Out-of-bounds Write
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2025-66448

A remote code execution vulnerability has been identified in vLLM. An attacker can exploit a weakness in the model loading process to silently fetch and run unauthorized, malicious Python code on the host system. This happens because the engine mistakenly executes code from a remote repository referenced in a model's configuration, even when explicit security measures are set to prevent it.

7.5 (High)
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
Vendor Fix fix
Workaround
Threats
Impact Important
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
Vendor Fix fix
Workaround
Threats
Impact Important
CVE-2026-22773

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 1x1 pixel image to a vLLM engine serving multimodal models that use the Idefics3 vision model implementation. This leads to a tensor dimension mismatch, causing an unhandled runtime error and resulting in complete server termination, effectively a Denial of Service (DoS).

6.5 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CWE-770 - Allocation of Resources Without Limits or Throttling
Affected products
Product Identifier Version Remediation
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
Vendor Fix fix
Workaround
Threats
Impact Moderate
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
Vendor Fix fix
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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64 —
Vendor Fix fix
Workaround
Unresolved product id: Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le —
Vendor Fix fix
Workaround
Threats
Impact Important
References
URL Category
https://access.redhat.com/errata/RHSA-2026:30087 self
https://access.redhat.com/security/cve/CVE-2025-62164 external
https://access.redhat.com/security/cve/CVE-2025-66448 external
https://access.redhat.com/security/cve/CVE-2026-10118 external
https://access.redhat.com/security/cve/CVE-2026-22773 external
https://access.redhat.com/security/cve/CVE-2026-22778 external
https://access.redhat.com/security/cve/CVE-2026-22807 external
https://access.redhat.com/security/cve/CVE-2026-24779 external
https://access.redhat.com/security/cve/CVE-2026-34588 external
https://access.redhat.com/security/cve/CVE-2026-34982 external
https://access.redhat.com/security/cve/CVE-2026-35385 external
https://access.redhat.com/security/cve/CVE-2026-37555 external
https://access.redhat.com/security/cve/CVE-2026-39979 external
https://access.redhat.com/security/cve/CVE-2026-40164 external
https://access.redhat.com/security/cve/CVE-2026-44431 external
https://access.redhat.com/security/cve/CVE-2026-44432 external
https://access.redhat.com/security/cve/CVE-2026-4775 external
https://access.redhat.com/security/cve/CVE-2026-4786 external
https://access.redhat.com/security/cve/CVE-2026-4878 external
https://access.redhat.com/security/cve/CVE-2026-48818 external
https://access.redhat.com/security/cve/CVE-2026-6100 external
https://access.redhat.com/security/updates/classi… external
https://www.redhat.com/en/products/ai/inference-server external
https://security.access.redhat.com/data/csaf/v2/a… self
https://access.redhat.com/security/cve/CVE-2025-62164 self
https://bugzilla.redhat.com/show_bug.cgi?id=2416282 external
https://www.cve.org/CVERecord?id=CVE-2025-62164 external
https://nvd.nist.gov/vuln/detail/CVE-2025-62164 external
https://github.com/vllm-project/vllm/commit/58fab… external
https://github.com/vllm-project/vllm/pull/27204 external
https://github.com/vllm-project/vllm/security/adv… external
https://access.redhat.com/security/cve/CVE-2025-66448 self
https://bugzilla.redhat.com/show_bug.cgi?id=2418152 external
https://www.cve.org/CVERecord?id=CVE-2025-66448 external
https://nvd.nist.gov/vuln/detail/CVE-2025-66448 external
https://github.com/vllm-project/vllm/commit/ffb08… external
https://github.com/vllm-project/vllm/pull/28126 external
https://github.com/vllm-project/vllm/security/adv… external
https://access.redhat.com/security/cve/CVE-2026-4775 self
https://bugzilla.redhat.com/show_bug.cgi?id=2450768 external
https://www.cve.org/CVERecord?id=CVE-2026-4775 external
https://nvd.nist.gov/vuln/detail/CVE-2026-4775 external
https://access.redhat.com/security/cve/CVE-2026-4786 self
https://bugzilla.redhat.com/show_bug.cgi?id=2458049 external
https://www.cve.org/CVERecord?id=CVE-2026-4786 external
https://nvd.nist.gov/vuln/detail/CVE-2026-4786 external
https://github.com/python/cpython/issues/148169 external
https://github.com/python/cpython/pull/148170 external
https://mail.python.org/archives/list/security-an… external
https://access.redhat.com/security/cve/CVE-2026-4878 self
https://bugzilla.redhat.com/show_bug.cgi?id=2451615 external
https://www.cve.org/CVERecord?id=CVE-2026-4878 external
https://nvd.nist.gov/vuln/detail/CVE-2026-4878 external
https://bugzilla.redhat.com/show_bug.cgi?id=2447554 external
https://access.redhat.com/security/cve/CVE-2026-6100 self
https://bugzilla.redhat.com/show_bug.cgi?id=2457932 external
https://www.cve.org/CVERecord?id=CVE-2026-6100 external
https://nvd.nist.gov/vuln/detail/CVE-2026-6100 external
https://github.com/python/cpython/commit/6a5f79c8… external
https://github.com/python/cpython/commit/8fc66aef… external
https://github.com/python/cpython/commit/c3cf71c3… external
https://github.com/python/cpython/issues/148395 external
https://github.com/python/cpython/pull/148396 external
https://mail.python.org/archives/list/security-an… external
https://access.redhat.com/security/cve/CVE-2026-10118 self
https://bugzilla.redhat.com/show_bug.cgi?id=2460428 external
https://www.cve.org/CVERecord?id=CVE-2026-10118 external
https://nvd.nist.gov/vuln/detail/CVE-2026-10118 external
https://gitlab.freedesktop.org/poppler/poppler/-/… external
https://access.redhat.com/security/cve/CVE-2026-22773 self
https://bugzilla.redhat.com/show_bug.cgi?id=2428443 external
https://www.cve.org/CVERecord?id=CVE-2026-22773 external
https://nvd.nist.gov/vuln/detail/CVE-2026-22773 external
https://github.com/vllm-project/vllm/security/adv… external
https://access.redhat.com/security/cve/CVE-2026-22778 self
https://bugzilla.redhat.com/show_bug.cgi?id=2436113 external
https://www.cve.org/CVERecord?id=CVE-2026-22778 external
https://nvd.nist.gov/vuln/detail/CVE-2026-22778 external
https://github.com/vllm-project/vllm/pull/31987 external
https://github.com/vllm-project/vllm/pull/32319 external
https://github.com/vllm-project/vllm/releases/tag… external
https://github.com/vllm-project/vllm/security/adv… external
https://access.redhat.com/security/cve/CVE-2026-22807 self
https://bugzilla.redhat.com/show_bug.cgi?id=2431865 external
https://www.cve.org/CVERecord?id=CVE-2026-22807 external
https://nvd.nist.gov/vuln/detail/CVE-2026-22807 external
https://github.com/vllm-project/vllm/commit/78d13… external
https://github.com/vllm-project/vllm/pull/32194 external
https://github.com/vllm-project/vllm/releases/tag… external
https://github.com/vllm-project/vllm/security/adv… external
https://access.redhat.com/security/cve/CVE-2026-24779 self
https://bugzilla.redhat.com/show_bug.cgi?id=2433624 external
https://www.cve.org/CVERecord?id=CVE-2026-24779 external
https://nvd.nist.gov/vuln/detail/CVE-2026-24779 external
https://github.com/vllm-project/vllm/commit/f46d5… external
https://github.com/vllm-project/vllm/pull/32746 external
https://github.com/vllm-project/vllm/security/adv… external
https://access.redhat.com/security/cve/CVE-2026-34588 self
https://bugzilla.redhat.com/show_bug.cgi?id=2455408 external
https://www.cve.org/CVERecord?id=CVE-2026-34588 external
https://nvd.nist.gov/vuln/detail/CVE-2026-34588 external
https://github.com/AcademySoftwareFoundation/open… external
https://access.redhat.com/security/cve/CVE-2026-34982 self
https://bugzilla.redhat.com/show_bug.cgi?id=2455400 external
https://www.cve.org/CVERecord?id=CVE-2026-34982 external
https://nvd.nist.gov/vuln/detail/CVE-2026-34982 external
http://www.openwall.com/lists/oss-security/2026/04/01/1 external
https://github.com/vim/vim/commit/75661a66a1db1e1… external
https://github.com/vim/vim/releases/tag/v9.2.0276 external
https://github.com/vim/vim/security/advisories/GH… external
https://access.redhat.com/security/cve/CVE-2026-35385 self
https://bugzilla.redhat.com/show_bug.cgi?id=2454469 external
https://www.cve.org/CVERecord?id=CVE-2026-35385 external
https://nvd.nist.gov/vuln/detail/CVE-2026-35385 external
https://marc.info/?l=openssh-unix-dev&m=177513443… external
https://www.openssh.org/releasenotes.html#10.3p1 external
https://www.openwall.com/lists/oss-security/2026/… external
https://access.redhat.com/security/cve/CVE-2026-37555 self
https://bugzilla.redhat.com/show_bug.cgi?id=2463856 external
https://www.cve.org/CVERecord?id=CVE-2026-37555 external
https://nvd.nist.gov/vuln/detail/CVE-2026-37555 external
https://github.com/libsndfile/libsndfile/commit/9… external
https://github.com/libsndfile/libsndfile/issues/833 external
https://access.redhat.com/security/cve/CVE-2026-39979 self
https://bugzilla.redhat.com/show_bug.cgi?id=2458077 external
https://www.cve.org/CVERecord?id=CVE-2026-39979 external
https://nvd.nist.gov/vuln/detail/CVE-2026-39979 external
https://github.com/jqlang/jq/commit/2f09060afab23… external
https://github.com/jqlang/jq/security/advisories/… external
https://access.redhat.com/security/cve/CVE-2026-40164 self
https://bugzilla.redhat.com/show_bug.cgi?id=2458084 external
https://www.cve.org/CVERecord?id=CVE-2026-40164 external
https://nvd.nist.gov/vuln/detail/CVE-2026-40164 external
https://github.com/jqlang/jq/commit/0c7d133c3c7e3… external
https://github.com/jqlang/jq/security/advisories/… external
https://access.redhat.com/security/cve/CVE-2026-44431 self
https://bugzilla.redhat.com/show_bug.cgi?id=2477167 external
https://www.cve.org/CVERecord?id=CVE-2026-44431 external
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
https://www.cve.org/CVERecord?id=CVE-2026-44432 external
https://nvd.nist.gov/vuln/detail/CVE-2026-44432 external
https://github.com/urllib3/urllib3/security/advis… 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
https://github.com/Kludex/starlette/security/advi… external
Acknowledgments
Quang Luong PrymEvol
Ali Raza
AISLE Research
To clipboard 

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          "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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          "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",
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        },
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          "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"
        },
        {
          "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",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-06-25T19:29:10+00:00",
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          "category": "workaround",
          "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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            "integrityImpact": "HIGH",
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          "category": "impact",
          "details": "Important"
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      "title": "libtiff: libtiff: Arbitrary code execution or denial of service via signed integer overflow in TIFF file processing"
    },
    {
      "cve": "CVE-2026-4786",
      "cwe": {
        "id": "CWE-88",
        "name": "Improper Neutralization of Argument Delimiters in a Command (\u0027Argument Injection\u0027)"
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          "category": "description",
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          "title": "Vulnerability description"
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          "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"
        }
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      "product_status": {
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          "summary": "Canonical URL",
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          "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"
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        {
          "category": "external",
          "summary": "https://github.com/python/cpython/issues/148169",
          "url": "https://github.com/python/cpython/issues/148169"
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          "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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      "title": "python: cpython: Python: Arbitrary code execution via command injection in webbrowser.open() API"
    },
    {
      "acknowledgments": [
        {
          "names": [
            "Ali Raza"
          ]
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        "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": [
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          "title": "Vulnerability description"
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          "title": "Vulnerability summary"
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          "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"
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      "cve": "CVE-2026-6100",
      "cwe": {
        "id": "CWE-825",
        "name": "Expired Pointer Dereference"
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      "discovery_date": "2026-04-13T18:01:31.970255+00:00",
      "ids": [
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          "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"
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        {
          "category": "summary",
          "text": "python: Python: Arbitrary code execution or information disclosure via use-after-free in decompression modules",
          "title": "Vulnerability summary"
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        {
          "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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      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-6100"
        },
        {
          "category": "external",
          "summary": "RHBZ#2457932",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2457932"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-6100",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-6100"
        },
        {
          "category": "external",
          "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": "2026-06-25T19:29:10+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30087",
          "product_ids": [
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          "restart_required": {
            "category": "none"
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          "url": "https://access.redhat.com/errata/RHSA-2026:30087"
        },
        {
          "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": [
        {
          "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": [
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          ]
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      ],
      "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": [
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        ]
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      "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": "2026-06-25T19:29:10+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30087",
          "product_ids": [
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          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30087"
        },
        {
          "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": [
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          ]
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      "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"
          },
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      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "poppler: Integer overflow in Poppler SplashOutputDev::tilingPatternFill leads to heap buffer overflow via unchecked dimension multiplication"
    },
    {
      "cve": "CVE-2026-22773",
      "cwe": {
        "id": "CWE-770",
        "name": "Allocation of Resources Without Limits or Throttling"
      },
      "discovery_date": "2026-01-10T07:01:22.641229+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2428443"
        }
      ],
      "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 1x1 pixel image to a vLLM engine serving multimodal models that use the Idefics3 vision model implementation. This leads to a tensor dimension mismatch, causing an unhandled runtime error and resulting in complete server termination, effectively a Denial of Service (DoS).",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vllm: vLLM: Denial of Service via specially crafted image in multimodal model serving",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This vulnerability is rated Moderate for Red Hat products. A remote attacker can trigger a denial of service in vLLM engines serving multimodal models that use the Idefics3 vision model by sending a specially crafted image, leading to complete server termination. This affects Red Hat AI Inference Server and Red Hat OpenShift AI (RHOAI) when configured with the vulnerable vLLM versions.",
          "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": [
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      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-22773"
        },
        {
          "category": "external",
          "summary": "RHBZ#2428443",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2428443"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-22773",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-22773"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-22773",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-22773"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-grg2-63fw-f2qr",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-grg2-63fw-f2qr"
        }
      ],
      "release_date": "2026-01-10T06:39:02.276000+00:00",
      "remediations": [
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          "category": "vendor_fix",
          "date": "2026-06-25T19:29:10+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30087",
          "product_ids": [
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          ],
          "restart_required": {
            "category": "none"
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          "url": "https://access.redhat.com/errata/RHSA-2026:30087"
        },
        {
          "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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            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le"
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      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 6.5,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
            "version": "3.1"
          },
          "products": [
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            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Moderate"
        }
      ],
      "title": "vllm: vLLM: Denial of Service via specially crafted image in multimodal model serving"
    },
    {
      "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": [
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          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le"
        ]
      },
      "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": "2026-06-25T19:29:10+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30087",
          "product_ids": [
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x",
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          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30087"
        },
        {
          "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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x",
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            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le"
          ]
        }
      ],
      "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": [
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      "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": "2026-06-25T19:29:10+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30087",
          "product_ids": [
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          "restart_required": {
            "category": "none"
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          "url": "https://access.redhat.com/errata/RHSA-2026:30087"
        },
        {
          "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": [
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            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64",
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      "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": [
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            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le"
          ]
        }
      ],
      "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": [
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          "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"
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        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/pull/32746",
          "url": "https://github.com/vllm-project/vllm/pull/32746"
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        {
          "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"
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      "release_date": "2026-01-27T22:01:13.808000+00:00",
      "remediations": [
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          "category": "vendor_fix",
          "date": "2026-06-25T19:29:10+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30087",
          "product_ids": [
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          ],
          "restart_required": {
            "category": "none"
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          "url": "https://access.redhat.com/errata/RHSA-2026:30087"
        },
        {
          "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": [
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      "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": [
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            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le"
          ]
        }
      ],
      "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": {
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          "category": "self",
          "summary": "Canonical URL",
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          "category": "external",
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          "category": "external",
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          "url": "https://www.cve.org/CVERecord?id=CVE-2026-34588"
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          "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"
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          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30087",
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            "category": "none"
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        },
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          "category": "workaround",
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            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
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            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
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          "details": "Important"
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      ],
      "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",
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          "text": "2455400"
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        {
          "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": [
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          "category": "self",
          "summary": "Canonical URL",
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          "category": "external",
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          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-34982",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-34982"
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        {
          "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"
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          "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"
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            "attackVector": "LOCAL",
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            "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",
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      "threats": [
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          "category": "impact",
          "details": "Important"
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      "title": "vim: arbitrary command execution via modeline sandbox bypass"
    },
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      "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"
        }
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      "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": {
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          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-35385"
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          "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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          "summary": "https://www.openssh.org/releasenotes.html#10.3p1",
          "url": "https://www.openssh.org/releasenotes.html#10.3p1"
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          "summary": "https://www.openwall.com/lists/oss-security/2026/04/02/3",
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            "confidentialityImpact": "HIGH",
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            "privilegesRequired": "NONE",
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          "details": "Important"
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      "title": "OpenSSH: OpenSSH: Privilege escalation via scp legacy protocol when not preserving file mode"
    },
    {
      "cve": "CVE-2026-37555",
      "cwe": {
        "id": "CWE-190",
        "name": "Integer Overflow or Wraparound"
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      "discovery_date": "2026-04-29T17:00:55.901773+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2463856"
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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"
        },
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          "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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      "product_status": {
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          "summary": "Canonical URL",
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        {
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          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-37555"
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            "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"
          },
          "products": [
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          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Moderate"
        }
      ],
      "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"
        }
      ],
      "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": {
        "fixed": [
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-44432"
        },
        {
          "category": "external",
          "summary": "RHBZ#2477154",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477154"
        },
        {
          "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",
          "url": "https://github.com/urllib3/urllib3/security/advisories/GHSA-mf9v-mfxr-j63j"
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      "release_date": "2026-05-13T15:17:12.611000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-06-25T19:29:10+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30087",
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          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:30087"
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "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",
            "version": "3.1"
          },
          "products": [
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            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "urllib3: urllib3: Denial of Service due to excessive HTTP response decompression"
    },
    {
      "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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64",
          "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le"
        ]
      },
      "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": "2026-06-25T19:29:10+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:30087",
          "product_ids": [
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          "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.",
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            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le"
          ]
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      "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-spyre-rhel9@sha256:681d191e22994e4da2d4844219e2401ee363d4b3524cd19bb00076dce685a36a_s390x",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:906987407c1ed10139dadc5f8aef64584f407a6017467fce726e2e9c42d9f9c8_amd64",
            "Red Hat AI Inference Server 3.3:registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:9c8187509c26e824143f51f9522d7b6457f3aea33e5f7983bb203e4bb231473d_ppc64le"
          ]
        }
      ],
      "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.