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{
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  "aliases": [
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    "github_reviewed_at": "2026-04-03T15:35:48Z",
    "nvd_published_at": "2026-04-06T16:16:36Z",
    "severity": "MODERATE"
  },
  "details": "### Summary\nA Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the `n` parameter in the `ChatCompletionRequest` and `CompletionRequest` Pydantic models, an unauthenticated attacker can send a single HTTP request with an astronomically large `n` value. This completely blocks the Python `asyncio` event loop and causes immediate Out-Of-Memory crashes by allocating millions of request object copies in the heap before the request even reaches the scheduling queue.\n\n### Details\nThe root cause of this vulnerability lies in the missing upper bound checks across the request parsing and asynchronous scheduling layers:\n\n1. **Protocol Layer:**\n   In `vllm/entrypoints/openai/chat_completion/protocol.py`, the `n` parameter is defined simply as an integer without any `pydantic.Field` constraints for an upper bound.\n```python\nclass ChatCompletionRequest(OpenAIBaseModel):\n    # Ordered by official OpenAI API documentation\n    # https://platform.openai.com/docs/api/reference/chat/create\n    messages: list[ChatCompletionMessageParam]\n    model: str | None = None\n    frequency_penalty: float | None = 0.0\n    logit_bias: dict[str, float] | None = None\n    logprobs: bool | None = False\n    top_logprobs: int | None = 0\n    max_tokens: int | None = Field(\n        default=None,\n        deprecated=\"max_tokens is deprecated in favor of \"\n        \"the max_completion_tokens field\",\n    )\n    max_completion_tokens: int | None = None\n    n: int | None = 1\n    presence_penalty: float | None = 0.0\n```\n\n1. **SamplingParams Layer (Incomplete Validation):**\n   When the API request is converted to internal `SamplingParams` in `vllm/sampling_params.py`, the `_verify_args` method only checks the lower bound (`self.n \u003c 1`), entirely omitting an upper bounds check.\n```python\n    def _verify_args(self) -\u003e None:\n        if not isinstance(self.n, int):\n            raise ValueError(f\"n must be an int, but is of type {type(self.n)}\")\n        if self.n \u003c 1:\n            raise ValueError(f\"n must be at least 1, got {self.n}.\")\n```\n\n1. **Engine Layer (The OOM Trigger):**\n   When the malicious request reaches the core engine (`vllm/v1/engine/async_llm.py`), the engine attempts to fan out the request `n` times to generate identical independent sequences within a synchronous loop.\n```python\n        # Fan out child requests (for n\u003e1).\n        parent_request = ParentRequest(request)\n        for idx in range(parent_params.n):\n            request_id, child_params = parent_request.get_child_info(idx)\n            child_request = request if idx == parent_params.n - 1 else copy(request)\n            child_request.request_id = request_id\n            child_request.sampling_params = child_params\n            await self._add_request(\n                child_request, prompt_text, parent_request, idx, queue\n            )\n        return queue\n```\n   Because Python\u0027s `asyncio` runs on a single thread and event loop, this monolithic `for`-loop monopolizes the CPU thread. The server stops responding to all other connections (including liveness probes). Simultaneously, the memory allocator is overwhelmed by cloning millions of request object instances via `copy(request)`, driving the host\u0027s Resident Set Size (RSS) up by gigabytes per second until the OS `OOM-killer` terminates the vLLM process.\n\n### Impact\n**Vulnerability Type:** Resource Exhaustion / Denial of Service\n\n**Impacted Parties:**\n- Any individual or organization hosting a public-facing vLLM API server (`vllm.entrypoints.openai.api_server`), which happens to be the primary entrypoint for OpenAI-compatible setups.\n- SaaS / AI-as-a-Service platforms acting as reverse proxies sitting in front of vLLM without strict HTTP body payload validation or rate limitations.\n\nBecause this vulnerability exploits the control plane rather than the data plane, an unauthenticated remote attacker can achieve a high success rate in taking down production inference hosts with a single HTTP request. This effectively circumvents any hardware-level capacity planning and conventional bandwidth stress limitations.",
  "id": "GHSA-3mwp-wvh9-7528",
  "modified": "2026-04-06T23:40:16Z",
  "published": "2026-04-03T15:35:48Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-3mwp-wvh9-7528"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34756"
    },
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      "url": "https://github.com/vllm-project/vllm/pull/37952"
    },
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      "url": "https://github.com/vllm-project/vllm/commit/b111f8a61f100fdca08706f41f29ef3548de7380"
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      "type": "CVSS_V3"
    }
  ],
  "summary": "vLLM: Unauthenticated OOM Denial of Service via Unbounded `n` Parameter in OpenAI API Server"
}

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        "id": "CWE-787",
        "name": "Out-of-bounds Write"
      },
      "discovery_date": "2026-03-18T19:01:41.415027+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2448747"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in giflib. A remote attacker can exploit a buffer overflow vulnerability in the EGifGCBToExtension function by providing a specially crafted Graphics Control Extension (GCE) block. This allows overwriting an existing GCE block without proper size validation, leading to a denial of service (DoS) on the system.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "giflib: giflib: Denial of Service via buffer overflow in EGifGCBToExtension",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "The openjdk-headless packages do not include java.desktop, which is the only code that uses giflib. Therefore, headless-only environments are not affected.",
          "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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        },
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          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-26740",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-26740"
        },
        {
          "category": "external",
          "summary": "https://github.com/zakkanijia/POC/blob/main/giflib/giftool/giflib_giftool_gce_len_heap_oobwrite_disclosure.md",
          "url": "https://github.com/zakkanijia/POC/blob/main/giflib/giftool/giflib_giftool_gce_len_heap_oobwrite_disclosure.md"
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            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
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    {
      "cve": "CVE-2026-33845",
      "cwe": {
        "id": "CWE-191",
        "name": "Integer Underflow (Wrap or Wraparound)"
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      "discovery_date": "2026-03-24T05:35:59.740000+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2450624"
        }
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        {
          "category": "description",
          "text": "A flaw in GnuTLS DTLS handshake parsing allows malformed fragments with zero length and non-zero offset, leading to an integer underflow during reassembly and resulting in an out-of-bounds read. This issue is remotely exploitable and may cause information disclosure or denial of service.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "gnutls: GnuTLS: Denial of Service via DTLS zero-length fragment",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This issue marked as Important severity due to its remote, pre-authentication reachability and its impact on a critical DTLS handshake parsing path. The vulnerability can be triggered by an unauthenticated attacker sending crafted DTLS handshake fragments, requiring no prior access or interaction. It leads to an out-of-bounds read caused by an integer underflow in fragment reassembly, operating entirely on attacker-controlled input. Such flaws in low-level protocol parsing are particularly serious, as they may result in disclosure of sensitive process memory, including cryptographic or session-related data, and can also cause reliable application crashes leading to denial of service. Given that DTLS is commonly used in network-facing services such as VPNs and real-time communication systems, the exposure surface is broad. The combination of unauthenticated remote exploitation, memory safety violation, and potential confidentiality and availability impact justifies classifying this issue as high severity rather than moderate.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
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          "url": "https://www.cve.org/CVERecord?id=CVE-2026-33845"
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          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-33845",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-33845"
        }
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      "release_date": "2026-04-30T17:28:41.473000+00:00",
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          "date": "2026-07-06T16:43:22+00:00",
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            "baseScore": 7.5,
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            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
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          "details": "Important"
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      "title": "gnutls: GnuTLS: Denial of Service via DTLS zero-length fragment"
    },
    {
      "cve": "CVE-2026-33846",
      "cwe": {
        "id": "CWE-130",
        "name": "Improper Handling of Length Parameter Inconsistency"
      },
      "discovery_date": "2026-03-24T05:38:09.899000+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2450625"
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        {
          "category": "description",
          "text": "A heap buffer overflow vulnerability exists in the DTLS handshake fragment reassembly logic of GnuTLS. The issue arises in merge_handshake_packet() where incoming handshake fragments are matched and merged based solely on handshake type, without validating that the message_length field remains consistent across all fragments of the same logical message. An attacker can exploit this by sending crafted DTLS fragments with conflicting message_length values, causing the implementation to allocate a buffer based on a smaller initial fragment and subsequently write beyond its bounds using larger, inconsistent fragments. Because the merge operation does not enforce proper bounds checking against the allocated buffer size, this results in an out-of-bounds write on the heap. The vulnerability is remotely exploitable without authentication via the DTLS handshake path and can lead to application crashes or potential memory corruption.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "gnutls: GnuTLS: Denial of Service via heap buffer overflow in DTLS handshake fragment reassembly",
          "title": "Vulnerability summary"
        },
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          "category": "other",
          "text": "This vulnerability should be classified as an important flaw rather than moderate because it exposes a pre-authentication, remotely reachable heap buffer overflow in the DTLS handshake processing path, which is part of the core protocol handling logic and commonly exposed in network-facing services. The flaw enables an attacker to inject controlled data at attacker-chosen offsets and sizes beyond allocated heap boundaries by exploiting inconsistent message_length handling across fragments, effectively creating a constrained but meaningful heap write primitive. Unlike benign memory safety bugs, this condition is deterministically triggerable with a small number of crafted packets and no environmental dependencies for denial-of-service, and it targets a long-lived parsing state where memory corruption can affect adjacent heap structures. Even if reliable code execution requires additional heap manipulation or layout knowledge, the combination of remote reachability, lack of authentication, controlled memory corruption capability, and trivial crashability significantly elevates the risk profile beyond moderate severity. In real-world deployments, such primitives are often sufficient to enable heap grooming and exploitation chains, particularly in services that repeatedly process attacker-controlled input, making this a materially important security 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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            "userInteraction": "NONE",
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    {
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      "cwe": {
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      "ids": [
        {
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          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models. A remote attacker can exploit a vulnerability in the VideoMediaIO.load_base64() method by sending a single API request containing a large number of comma-separated base64-encoded JPEG frames. This bypasses the intended frame count limit, causing the server to decode all frames into memory. This can lead to an Out-of-Memory (OOM) crash, resulting in a Denial of Service (DoS) for the affected system.",
          "title": "Vulnerability description"
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          "text": "vLLM: vLLM: Denial of Service due to excessive video frame processing",
          "title": "Vulnerability summary"
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        {
          "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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            "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": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vLLM: vLLM: Denial of Service due to excessive video frame processing"
    },
    {
      "cve": "CVE-2026-34756",
      "cwe": {
        "id": "CWE-1284",
        "name": "Improper Validation of Specified Quantity in Input"
      },
      "discovery_date": "2026-04-06T16:03:45.222577+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2455425"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). An unauthenticated attacker can exploit this vulnerability by sending a specially crafted HTTP request with an excessively large \u0027n\u0027 parameter to the vLLM OpenAI-compatible API server. This can lead to a Denial of Service (DoS) by consuming excessive memory and blocking the system\u0027s event loop, causing the server to crash.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vllm: vLLM: Denial of Service via excessively large \u0027n\u0027 parameter in OpenAI-compatible API",
          "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 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
          "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-34756"
        },
        {
          "category": "external",
          "summary": "RHBZ#2455425",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2455425"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-34756",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-34756"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-34756",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34756"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/commit/b111f8a61f100fdca08706f41f29ef3548de7380",
          "url": "https://github.com/vllm-project/vllm/commit/b111f8a61f100fdca08706f41f29ef3548de7380"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/pull/37952",
          "url": "https://github.com/vllm-project/vllm/pull/37952"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-3mwp-wvh9-7528",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-3mwp-wvh9-7528"
        }
      ],
      "release_date": "2026-04-06T15:40:03.448000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:43:22+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36005",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36005"
        },
        {
          "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 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ]
        }
      ],
      "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": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vllm: vLLM: Denial of Service via excessively large \u0027n\u0027 parameter in OpenAI-compatible API"
    },
    {
      "cve": "CVE-2026-34982",
      "cwe": {
        "id": "CWE-78",
        "name": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)"
      },
      "discovery_date": "2026-04-06T16:02:10.004743+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2455400"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in Vim. A modeline is used to set specific editor options directly from a text file. However, the `complete`, `guitabtooltip`, `printheader` options and the `mapset` function lack proper security checks, allowing an attacker to bypass restrictions and cause arbitrary OS command execution.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vim: arbitrary command execution via modeline sandbox bypass",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "To exploit this vulnerability, an attacker needs to convince a user to open a specially crafted file. The arbitrary OS command execution is restricted to the privileges of the user running Vim, limiting the potential of a full system compromise.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
          "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-34982"
        },
        {
          "category": "external",
          "summary": "RHBZ#2455400",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2455400"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-34982",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-34982"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-34982",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34982"
        },
        {
          "category": "external",
          "summary": "http://www.openwall.com/lists/oss-security/2026/04/01/1",
          "url": "http://www.openwall.com/lists/oss-security/2026/04/01/1"
        },
        {
          "category": "external",
          "summary": "https://github.com/vim/vim/commit/75661a66a1db1e1f3f1245c615",
          "url": "https://github.com/vim/vim/commit/75661a66a1db1e1f3f1245c615"
        },
        {
          "category": "external",
          "summary": "https://github.com/vim/vim/releases/tag/v9.2.0276",
          "url": "https://github.com/vim/vim/releases/tag/v9.2.0276"
        },
        {
          "category": "external",
          "summary": "https://github.com/vim/vim/security/advisories/GHSA-8h6p-m6gr-mpw9",
          "url": "https://github.com/vim/vim/security/advisories/GHSA-8h6p-m6gr-mpw9"
        }
      ],
      "release_date": "2026-04-06T15:16:48.809000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:43:22+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36005",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36005"
        },
        {
          "category": "workaround",
          "details": "To mitigate this issue, disable the modeline support by adding the following command to the Vim configuration file:\n\n~~~\nset nomodeline\n~~~",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "NONE",
            "baseScore": 8.2,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:N",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vim: arbitrary command execution via modeline sandbox bypass"
    },
    {
      "cve": "CVE-2026-41523",
      "cwe": {
        "id": "CWE-617",
        "name": "Reachable Assertion"
      },
      "discovery_date": "2026-06-22T23:01:00.799590+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2491582"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). An unauthenticated attacker can exploit an assert-based security check during activation function loading. By publishing a malicious HuggingFace model, an attacker can achieve arbitrary code execution on the server when vLLM runs in Python optimized mode.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vllm: vLLM: Arbitrary code execution via malicious HuggingFace model",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "Red Hat rates this issue as having Important impact for Red Hat AI Inference Server and Red Hat OpenShift AI vLLM serving images, and Moderate impact for Red Hat Enterprise Linux AI bootc images that bundle vLLM. Exploitation requires loading an untrusted HuggingFace cross-encoder model while the vLLM process runs with Python optimized mode (python -O or PYTHONOPTIMIZE=1). Red Hat AI Inference Server 3.2/3.3 images and other components without the vulnerable pooler activation loader (vLLM \u003c 0.14.0) are not affected.",
          "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 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
          "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-41523"
        },
        {
          "category": "external",
          "summary": "RHBZ#2491582",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2491582"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-41523",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-41523"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-41523",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-41523"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/commit/b3c7ffcab82c2439726f8cb213800f6f38c023d3",
          "url": "https://github.com/vllm-project/vllm/commit/b3c7ffcab82c2439726f8cb213800f6f38c023d3"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-q8gq-377p-jq3r",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-q8gq-377p-jq3r"
        },
        {
          "category": "external",
          "summary": "https://huntr.com/bounties/dcb05b04-e625-41e7-adbc-bbae0cc2d64c",
          "url": "https://huntr.com/bounties/dcb05b04-e625-41e7-adbc-bbae0cc2d64c"
        }
      ],
      "release_date": "2026-06-22T22:18:14.494000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:43:22+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36005",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36005"
        },
        {
          "category": "workaround",
          "details": "Avoid running vLLM with python -O or PYTHONOPTIMIZE=1 until updated packages are available. Only load models from trusted sources. Restrict who can deploy or update models on inference endpoints. Apply network access controls and authentication in front of vLLM APIs.",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vllm: vLLM: Arbitrary code execution via malicious HuggingFace model"
    },
    {
      "acknowledgments": [
        {
          "names": [
            "Joshua Rogers"
          ],
          "organization": "AISLE Research Team"
        }
      ],
      "cve": "CVE-2026-42009",
      "cwe": {
        "id": "CWE-475",
        "name": "Undefined Behavior for Input to API"
      },
      "discovery_date": "2026-05-06T16:32:32.382000+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2467279"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in gnutls. A remote attacker could exploit an issue in the Datagram Transport Layer Security (DTLS) packet reordering logic. The comparator function, responsible for ordering DTLS packets by sequence numbers, did not correctly handle packets with duplicate sequence numbers. This could lead to unstable packet ordering or undefined behavior, resulting in a denial of service.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "gnutls: gnutls: Denial of Service via DTLS packet reordering vulnerability",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "The impact for this flaw has been downgraded on Red Hat Enterprise Linux due to the following reason:\n\n- The number of elements passed to the vulnerable function at runtime is known and is at most 6 and the element size is sufficiently small. glibc\u2019s qsort implementation will not exercise the quick sort code path, which would otherwise cause an infloop or out-of-bound write.",
          "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 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
          "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-42009"
        },
        {
          "category": "external",
          "summary": "RHBZ#2467279",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2467279"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-42009",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-42009"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-42009",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42009"
        },
        {
          "category": "external",
          "summary": "https://www.gnutls.org/security-new.html#GNUTLS-SA-2026-04-29-2",
          "url": "https://www.gnutls.org/security-new.html#GNUTLS-SA-2026-04-29-2"
        }
      ],
      "release_date": "2026-04-29T00:00:00+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:43:22+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36005",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36005"
        }
      ],
      "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 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "gnutls: gnutls: Denial of Service via DTLS packet reordering vulnerability"
    },
    {
      "acknowledgments": [
        {
          "names": [
            "Joshua Rogers"
          ],
          "organization": "AISLE Research Team"
        }
      ],
      "cve": "CVE-2026-42010",
      "cwe": {
        "id": "CWE-170",
        "name": "Improper Null Termination"
      },
      "discovery_date": "2026-05-06T16:57:37.044000+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2467289"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in gnutls. Servers configured with RSA-PSK (Rivest\u2013Shamir\u2013Adleman \u2013 Pre-Shared Key) wrongfully matched usernames containing a NUL character with truncated usernames. A remote attacker could exploit this by sending a specially crafted username, leading to an authentication bypass. This vulnerability allows an attacker to gain unauthorized access by circumventing the authentication process.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "gnutls: gnutls: Authentication Bypass via NUL Character in Username",
          "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 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
          "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-42010"
        },
        {
          "category": "external",
          "summary": "RHBZ#2467289",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2467289"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-42010",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-42010"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-42010",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42010"
        },
        {
          "category": "external",
          "summary": "https://www.gnutls.org/security-new.html#GNUTLS-SA-2026-04-29-4",
          "url": "https://www.gnutls.org/security-new.html#GNUTLS-SA-2026-04-29-4"
        }
      ],
      "release_date": "2026-04-29T00:00:00+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:43:22+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36005",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36005"
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 7.1,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "LOW",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N",
            "version": "3.1"
          },
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            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "gnutls: gnutls: Authentication Bypass via NUL Character in Username"
    },
    {
      "cve": "CVE-2026-48746",
      "cwe": {
        "id": "CWE-501",
        "name": "Trust Boundary Violation"
      },
      "discovery_date": "2026-06-22T23:00:57.824402+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2491581"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). This vulnerability, residing in ASGI web servers and Starlette\u0027s trust in them, allows an attacker to bypass the OpenAI API Authentication Middleware. This bypass enables unauthorized access to the API without requiring the configured VLLM_API_KEY or --api-key, leading to critical unauthorized operations.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vllm: starlette: vLLM: Critical authentication bypass allows unauthorized API access",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "CVE-2026-48746 is an authentication bypass in the vLLM OpenAI-compatible API server. A remote attacker who can reach the vLLM endpoint directly can craft a Host header so the authentication middleware checks a different URL path than the one actually dispatched, bypassing VLLM_API_KEY / --api-key protection. Successful exploitation allows unauthorized inference API access, which can result in confidentiality loss (model/prompt abuse) and availability impact (resource exhaustion). The flaw does not provide integrity compromise or arbitrary code execution. Exploitation requires vLLM API-key authentication to be enabled and the service to be exposed without an RFC-conforming reverse proxy that normalizes the Host header. Because Red Hat AI inference offerings are commonly deployed behind OpenShift Routes or similar proxies, and because the vulnerability is conditional on deployment and configuration, the overall flaw impact is rated Important rather than Critical.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
          "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-48746"
        },
        {
          "category": "external",
          "summary": "RHBZ#2491581",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2491581"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-48746",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-48746"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-48746",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-48746"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/pull/43426",
          "url": "https://github.com/vllm-project/vllm/pull/43426"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-94f4-hr76-p5j6",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-94f4-hr76-p5j6"
        },
        {
          "category": "external",
          "summary": "https://x41-dsec.de/lab/advisories/x41-2026-002-starlette",
          "url": "https://x41-dsec.de/lab/advisories/x41-2026-002-starlette"
        }
      ],
      "release_date": "2026-06-22T21:57:28.997000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:43:22+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36005",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36005"
        },
        {
          "category": "workaround",
          "details": "Restrict network access to the vLLM API endpoint to only trusted clients and internal networks. Implement firewall rules or network policies to limit inbound connections to the vLLM service, thereby reducing the attack surface. This operational control helps prevent unauthorized external access to the vulnerable API.",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9.1,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H",
            "version": "3.1"
          },
          "products": [
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            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vllm: starlette: vLLM: Critical authentication bypass allows unauthorized API access"
    },
    {
      "cve": "CVE-2026-54235",
      "cwe": {
        "id": "CWE-1287",
        "name": "Improper Validation of Specified Type of Input"
      },
      "discovery_date": "2026-06-22T23:01:07.102249+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2491584"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). The temperature validation gates, which use comparison operators, incorrectly handle Not-a-Number (NaN) and positive Infinity values in Python\u0027s IEEE 754 float semantics. These invalid values can bypass validation and propagate to GPU sampling kernels, leading to undefined behavior or CUDA errors that can crash the inference worker. This could allow an attacker to cause a Denial of Service (DoS) by providing specially crafted input.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vllm: vLLM: Denial of Service due to improper floating-point validation",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This Moderate impact flaw in vLLM, as used in Red Hat AI Inference Server, Red Hat OpenShift AI, and Red Hat Enterprise Linux AI, allows for a denial of service. Improper validation of floating-point values like Not-a-Number (NaN) or positive Infinity in temperature parameters can bypass security checks, leading to undefined behavior or CUDA errors that crash the inference worker. This could be exploited by providing specially crafted input to the LLM inference engine.",
          "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 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
          "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-54235"
        },
        {
          "category": "external",
          "summary": "RHBZ#2491584",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2491584"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-54235",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-54235"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-54235",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-54235"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/commit/d598d239737cfa37bcfcb98886ec3f3557fc7198",
          "url": "https://github.com/vllm-project/vllm/commit/d598d239737cfa37bcfcb98886ec3f3557fc7198"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/pull/45116",
          "url": "https://github.com/vllm-project/vllm/pull/45116"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-7h4p-rffg-7823",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-7h4p-rffg-7823"
        }
      ],
      "release_date": "2026-06-22T21:59:02.710000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:43:22+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36005",
          "product_ids": [
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            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36005"
        },
        {
          "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 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "LOW",
            "baseScore": 6.5,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "LOW",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64",
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Moderate"
        }
      ],
      "title": "vllm: vLLM: Denial of Service due to improper floating-point validation"
    },
    {
      "cve": "CVE-2026-54283",
      "cwe": {
        "id": "CWE-770",
        "name": "Allocation of Resources Without Limits or Throttling"
      },
      "discovery_date": "2026-06-22T18:01:06.194658+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2491440"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in Starlette where the request.form() method silently ignores configured resource limits (max_fields and max_part_size) when parsing application/x-www-form-urlencoded data. An unauthenticated attacker can exploit this by sending a urlencoded request body with an arbitrarily large number of fields or an oversized field, causing denial of service through resource exhaustion.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "starlette: Starlette: request.form() limits silently ignored for application/x-www-form-urlencoded enable DoS",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "A flaw was found in Starlette where the request.form() method silently ignores configured resource limits (max_fields and max_part_size) when parsing application/x-www-form-urlencoded data. An unauthenticated attacker can exploit this by sending a urlencoded request body with an arbitrarily large number of fields or an oversized field, causing denial of service through resource exhaustion. This only affects applications that explicitly call request.form() on urlencoded input; JSON-only APIs and services where Starlette is a transitive dependency not used for form parsing are not affected.",
          "title": "Statement"
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            "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": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "gnutls: GnuTLS: Denial of Service via DTLS zero-length fragment"
    },
    {
      "cve": "CVE-2026-33846",
      "cwe": {
        "id": "CWE-130",
        "name": "Improper Handling of Length Parameter Inconsistency"
      },
      "discovery_date": "2026-03-24T05:38:09.899000+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2450625"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A heap buffer overflow vulnerability exists in the DTLS handshake fragment reassembly logic of GnuTLS. The issue arises in merge_handshake_packet() where incoming handshake fragments are matched and merged based solely on handshake type, without validating that the message_length field remains consistent across all fragments of the same logical message. An attacker can exploit this by sending crafted DTLS fragments with conflicting message_length values, causing the implementation to allocate a buffer based on a smaller initial fragment and subsequently write beyond its bounds using larger, inconsistent fragments. Because the merge operation does not enforce proper bounds checking against the allocated buffer size, this results in an out-of-bounds write on the heap. The vulnerability is remotely exploitable without authentication via the DTLS handshake path and can lead to application crashes or potential memory corruption.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "gnutls: GnuTLS: Denial of Service via heap buffer overflow in DTLS handshake fragment reassembly",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This vulnerability should be classified as an important flaw rather than moderate because it exposes a pre-authentication, remotely reachable heap buffer overflow in the DTLS handshake processing path, which is part of the core protocol handling logic and commonly exposed in network-facing services. The flaw enables an attacker to inject controlled data at attacker-chosen offsets and sizes beyond allocated heap boundaries by exploiting inconsistent message_length handling across fragments, effectively creating a constrained but meaningful heap write primitive. Unlike benign memory safety bugs, this condition is deterministically triggerable with a small number of crafted packets and no environmental dependencies for denial-of-service, and it targets a long-lived parsing state where memory corruption can affect adjacent heap structures. Even if reliable code execution requires additional heap manipulation or layout knowledge, the combination of remote reachability, lack of authentication, controlled memory corruption capability, and trivial crashability significantly elevates the risk profile beyond moderate severity. In real-world deployments, such primitives are often sufficient to enable heap grooming and exploitation chains, particularly in services that repeatedly process attacker-controlled input, making this a materially important security 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"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-33846"
        },
        {
          "category": "external",
          "summary": "RHBZ#2450625",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2450625"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-33846",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-33846"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-33846",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-33846"
        }
      ],
      "release_date": "2026-05-04T08:53:59.249000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:44:03+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36006",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36006"
        },
        {
          "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 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "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": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "gnutls: GnuTLS: Denial of Service via heap buffer overflow in DTLS handshake fragment reassembly"
    },
    {
      "cve": "CVE-2026-34755",
      "cwe": {
        "id": "CWE-770",
        "name": "Allocation of Resources Without Limits or Throttling"
      },
      "discovery_date": "2026-04-06T16:02:21.718949+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2455403"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models. A remote attacker can exploit a vulnerability in the VideoMediaIO.load_base64() method by sending a single API request containing a large number of comma-separated base64-encoded JPEG frames. This bypasses the intended frame count limit, causing the server to decode all frames into memory. This can lead to an Out-of-Memory (OOM) crash, resulting in a Denial of Service (DoS) for the affected system.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vLLM: vLLM: Denial of Service due to excessive video frame processing",
          "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 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-34755"
        },
        {
          "category": "external",
          "summary": "RHBZ#2455403",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2455403"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-34755",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-34755"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-34755",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34755"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-pq5c-rjhq-qp7p",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-pq5c-rjhq-qp7p"
        }
      ],
      "release_date": "2026-04-06T15:38:53.201000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:44:03+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36006",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36006"
        },
        {
          "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 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "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": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vLLM: vLLM: Denial of Service due to excessive video frame processing"
    },
    {
      "cve": "CVE-2026-34756",
      "cwe": {
        "id": "CWE-1284",
        "name": "Improper Validation of Specified Quantity in Input"
      },
      "discovery_date": "2026-04-06T16:03:45.222577+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2455425"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). An unauthenticated attacker can exploit this vulnerability by sending a specially crafted HTTP request with an excessively large \u0027n\u0027 parameter to the vLLM OpenAI-compatible API server. This can lead to a Denial of Service (DoS) by consuming excessive memory and blocking the system\u0027s event loop, causing the server to crash.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vllm: vLLM: Denial of Service via excessively large \u0027n\u0027 parameter in OpenAI-compatible API",
          "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 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-34756"
        },
        {
          "category": "external",
          "summary": "RHBZ#2455425",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2455425"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-34756",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-34756"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-34756",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34756"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/commit/b111f8a61f100fdca08706f41f29ef3548de7380",
          "url": "https://github.com/vllm-project/vllm/commit/b111f8a61f100fdca08706f41f29ef3548de7380"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/pull/37952",
          "url": "https://github.com/vllm-project/vllm/pull/37952"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-3mwp-wvh9-7528",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-3mwp-wvh9-7528"
        }
      ],
      "release_date": "2026-04-06T15:40:03.448000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:44:03+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36006",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36006"
        },
        {
          "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 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "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": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vllm: vLLM: Denial of Service via excessively large \u0027n\u0027 parameter in OpenAI-compatible API"
    },
    {
      "cve": "CVE-2026-34982",
      "cwe": {
        "id": "CWE-78",
        "name": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)"
      },
      "discovery_date": "2026-04-06T16:02:10.004743+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2455400"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in Vim. A modeline is used to set specific editor options directly from a text file. However, the `complete`, `guitabtooltip`, `printheader` options and the `mapset` function lack proper security checks, allowing an attacker to bypass restrictions and cause arbitrary OS command execution.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vim: arbitrary command execution via modeline sandbox bypass",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "To exploit this vulnerability, an attacker needs to convince a user to open a specially crafted file. The arbitrary OS command execution is restricted to the privileges of the user running Vim, limiting the potential of a full system compromise.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-34982"
        },
        {
          "category": "external",
          "summary": "RHBZ#2455400",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2455400"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-34982",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-34982"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-34982",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34982"
        },
        {
          "category": "external",
          "summary": "http://www.openwall.com/lists/oss-security/2026/04/01/1",
          "url": "http://www.openwall.com/lists/oss-security/2026/04/01/1"
        },
        {
          "category": "external",
          "summary": "https://github.com/vim/vim/commit/75661a66a1db1e1f3f1245c615",
          "url": "https://github.com/vim/vim/commit/75661a66a1db1e1f3f1245c615"
        },
        {
          "category": "external",
          "summary": "https://github.com/vim/vim/releases/tag/v9.2.0276",
          "url": "https://github.com/vim/vim/releases/tag/v9.2.0276"
        },
        {
          "category": "external",
          "summary": "https://github.com/vim/vim/security/advisories/GHSA-8h6p-m6gr-mpw9",
          "url": "https://github.com/vim/vim/security/advisories/GHSA-8h6p-m6gr-mpw9"
        }
      ],
      "release_date": "2026-04-06T15:16:48.809000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:44:03+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36006",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36006"
        },
        {
          "category": "workaround",
          "details": "To mitigate this issue, disable the modeline support by adding the following command to the Vim configuration file:\n\n~~~\nset nomodeline\n~~~",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "NONE",
            "baseScore": 8.2,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:N",
            "version": "3.1"
          },
          "products": [
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          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vim: arbitrary command execution via modeline sandbox bypass"
    },
    {
      "cve": "CVE-2026-41523",
      "cwe": {
        "id": "CWE-617",
        "name": "Reachable Assertion"
      },
      "discovery_date": "2026-06-22T23:01:00.799590+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2491582"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). An unauthenticated attacker can exploit an assert-based security check during activation function loading. By publishing a malicious HuggingFace model, an attacker can achieve arbitrary code execution on the server when vLLM runs in Python optimized mode.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vllm: vLLM: Arbitrary code execution via malicious HuggingFace model",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "Red Hat rates this issue as having Important impact for Red Hat AI Inference Server and Red Hat OpenShift AI vLLM serving images, and Moderate impact for Red Hat Enterprise Linux AI bootc images that bundle vLLM. Exploitation requires loading an untrusted HuggingFace cross-encoder model while the vLLM process runs with Python optimized mode (python -O or PYTHONOPTIMIZE=1). Red Hat AI Inference Server 3.2/3.3 images and other components without the vulnerable pooler activation loader (vLLM \u003c 0.14.0) are not affected.",
          "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 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-41523"
        },
        {
          "category": "external",
          "summary": "RHBZ#2491582",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2491582"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-41523",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-41523"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-41523",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-41523"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/commit/b3c7ffcab82c2439726f8cb213800f6f38c023d3",
          "url": "https://github.com/vllm-project/vllm/commit/b3c7ffcab82c2439726f8cb213800f6f38c023d3"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-q8gq-377p-jq3r",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-q8gq-377p-jq3r"
        },
        {
          "category": "external",
          "summary": "https://huntr.com/bounties/dcb05b04-e625-41e7-adbc-bbae0cc2d64c",
          "url": "https://huntr.com/bounties/dcb05b04-e625-41e7-adbc-bbae0cc2d64c"
        }
      ],
      "release_date": "2026-06-22T22:18:14.494000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:44:03+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36006",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36006"
        },
        {
          "category": "workaround",
          "details": "Avoid running vLLM with python -O or PYTHONOPTIMIZE=1 until updated packages are available. Only load models from trusted sources. Restrict who can deploy or update models on inference endpoints. Apply network access controls and authentication in front of vLLM APIs.",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vllm: vLLM: Arbitrary code execution via malicious HuggingFace model"
    },
    {
      "acknowledgments": [
        {
          "names": [
            "Joshua Rogers"
          ],
          "organization": "AISLE Research Team"
        }
      ],
      "cve": "CVE-2026-42009",
      "cwe": {
        "id": "CWE-475",
        "name": "Undefined Behavior for Input to API"
      },
      "discovery_date": "2026-05-06T16:32:32.382000+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2467279"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in gnutls. A remote attacker could exploit an issue in the Datagram Transport Layer Security (DTLS) packet reordering logic. The comparator function, responsible for ordering DTLS packets by sequence numbers, did not correctly handle packets with duplicate sequence numbers. This could lead to unstable packet ordering or undefined behavior, resulting in a denial of service.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "gnutls: gnutls: Denial of Service via DTLS packet reordering vulnerability",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "The impact for this flaw has been downgraded on Red Hat Enterprise Linux due to the following reason:\n\n- The number of elements passed to the vulnerable function at runtime is known and is at most 6 and the element size is sufficiently small. glibc\u2019s qsort implementation will not exercise the quick sort code path, which would otherwise cause an infloop or out-of-bound write.",
          "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 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-42009"
        },
        {
          "category": "external",
          "summary": "RHBZ#2467279",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2467279"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-42009",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-42009"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-42009",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42009"
        },
        {
          "category": "external",
          "summary": "https://www.gnutls.org/security-new.html#GNUTLS-SA-2026-04-29-2",
          "url": "https://www.gnutls.org/security-new.html#GNUTLS-SA-2026-04-29-2"
        }
      ],
      "release_date": "2026-04-29T00:00:00+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:44:03+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36006",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36006"
        }
      ],
      "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": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "gnutls: gnutls: Denial of Service via DTLS packet reordering vulnerability"
    },
    {
      "acknowledgments": [
        {
          "names": [
            "Joshua Rogers"
          ],
          "organization": "AISLE Research Team"
        }
      ],
      "cve": "CVE-2026-42010",
      "cwe": {
        "id": "CWE-170",
        "name": "Improper Null Termination"
      },
      "discovery_date": "2026-05-06T16:57:37.044000+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2467289"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in gnutls. Servers configured with RSA-PSK (Rivest\u2013Shamir\u2013Adleman \u2013 Pre-Shared Key) wrongfully matched usernames containing a NUL character with truncated usernames. A remote attacker could exploit this by sending a specially crafted username, leading to an authentication bypass. This vulnerability allows an attacker to gain unauthorized access by circumventing the authentication process.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "gnutls: gnutls: Authentication Bypass via NUL Character in Username",
          "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 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-42010"
        },
        {
          "category": "external",
          "summary": "RHBZ#2467289",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2467289"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-42010",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-42010"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-42010",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42010"
        },
        {
          "category": "external",
          "summary": "https://www.gnutls.org/security-new.html#GNUTLS-SA-2026-04-29-4",
          "url": "https://www.gnutls.org/security-new.html#GNUTLS-SA-2026-04-29-4"
        }
      ],
      "release_date": "2026-04-29T00:00:00+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:44:03+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36006",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36006"
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 7.1,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "LOW",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "gnutls: gnutls: Authentication Bypass via NUL Character in Username"
    },
    {
      "cve": "CVE-2026-48746",
      "cwe": {
        "id": "CWE-501",
        "name": "Trust Boundary Violation"
      },
      "discovery_date": "2026-06-22T23:00:57.824402+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2491581"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). This vulnerability, residing in ASGI web servers and Starlette\u0027s trust in them, allows an attacker to bypass the OpenAI API Authentication Middleware. This bypass enables unauthorized access to the API without requiring the configured VLLM_API_KEY or --api-key, leading to critical unauthorized operations.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vllm: starlette: vLLM: Critical authentication bypass allows unauthorized API access",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "CVE-2026-48746 is an authentication bypass in the vLLM OpenAI-compatible API server. A remote attacker who can reach the vLLM endpoint directly can craft a Host header so the authentication middleware checks a different URL path than the one actually dispatched, bypassing VLLM_API_KEY / --api-key protection. Successful exploitation allows unauthorized inference API access, which can result in confidentiality loss (model/prompt abuse) and availability impact (resource exhaustion). The flaw does not provide integrity compromise or arbitrary code execution. Exploitation requires vLLM API-key authentication to be enabled and the service to be exposed without an RFC-conforming reverse proxy that normalizes the Host header. Because Red Hat AI inference offerings are commonly deployed behind OpenShift Routes or similar proxies, and because the vulnerability is conditional on deployment and configuration, the overall flaw impact is rated Important rather than Critical.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-48746"
        },
        {
          "category": "external",
          "summary": "RHBZ#2491581",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2491581"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-48746",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-48746"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-48746",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-48746"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/pull/43426",
          "url": "https://github.com/vllm-project/vllm/pull/43426"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-94f4-hr76-p5j6",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-94f4-hr76-p5j6"
        },
        {
          "category": "external",
          "summary": "https://x41-dsec.de/lab/advisories/x41-2026-002-starlette",
          "url": "https://x41-dsec.de/lab/advisories/x41-2026-002-starlette"
        }
      ],
      "release_date": "2026-06-22T21:57:28.997000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:44:03+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36006",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36006"
        },
        {
          "category": "workaround",
          "details": "Restrict network access to the vLLM API endpoint to only trusted clients and internal networks. Implement firewall rules or network policies to limit inbound connections to the vLLM service, thereby reducing the attack surface. This operational control helps prevent unauthorized external access to the vulnerable API.",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9.1,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vllm: starlette: vLLM: Critical authentication bypass allows unauthorized API access"
    },
    {
      "cve": "CVE-2026-54235",
      "cwe": {
        "id": "CWE-1287",
        "name": "Improper Validation of Specified Type of Input"
      },
      "discovery_date": "2026-06-22T23:01:07.102249+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2491584"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). The temperature validation gates, which use comparison operators, incorrectly handle Not-a-Number (NaN) and positive Infinity values in Python\u0027s IEEE 754 float semantics. These invalid values can bypass validation and propagate to GPU sampling kernels, leading to undefined behavior or CUDA errors that can crash the inference worker. This could allow an attacker to cause a Denial of Service (DoS) by providing specially crafted input.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vllm: vLLM: Denial of Service due to improper floating-point validation",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This Moderate impact flaw in vLLM, as used in Red Hat AI Inference Server, Red Hat OpenShift AI, and Red Hat Enterprise Linux AI, allows for a denial of service. Improper validation of floating-point values like Not-a-Number (NaN) or positive Infinity in temperature parameters can bypass security checks, leading to undefined behavior or CUDA errors that crash the inference worker. This could be exploited by providing specially crafted input to the LLM inference engine.",
          "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 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-54235"
        },
        {
          "category": "external",
          "summary": "RHBZ#2491584",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2491584"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-54235",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-54235"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-54235",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-54235"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/commit/d598d239737cfa37bcfcb98886ec3f3557fc7198",
          "url": "https://github.com/vllm-project/vllm/commit/d598d239737cfa37bcfcb98886ec3f3557fc7198"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/pull/45116",
          "url": "https://github.com/vllm-project/vllm/pull/45116"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-7h4p-rffg-7823",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-7h4p-rffg-7823"
        }
      ],
      "release_date": "2026-06-22T21:59:02.710000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:44:03+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36006",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36006"
        },
        {
          "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 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "LOW",
            "baseScore": 6.5,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "LOW",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L",
            "version": "3.1"
          },
          "products": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Moderate"
        }
      ],
      "title": "vllm: vLLM: Denial of Service due to improper floating-point validation"
    },
    {
      "cve": "CVE-2026-54283",
      "cwe": {
        "id": "CWE-770",
        "name": "Allocation of Resources Without Limits or Throttling"
      },
      "discovery_date": "2026-06-22T18:01:06.194658+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2491440"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in Starlette where the request.form() method silently ignores configured resource limits (max_fields and max_part_size) when parsing application/x-www-form-urlencoded data. An unauthenticated attacker can exploit this by sending a urlencoded request body with an arbitrarily large number of fields or an oversized field, causing denial of service through resource exhaustion.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "starlette: Starlette: request.form() limits silently ignored for application/x-www-form-urlencoded enable DoS",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "A flaw was found in Starlette where the request.form() method silently ignores configured resource limits (max_fields and max_part_size) when parsing application/x-www-form-urlencoded data. An unauthenticated attacker can exploit this by sending a urlencoded request body with an arbitrarily large number of fields or an oversized field, causing denial of service through resource exhaustion. This only affects applications that explicitly call request.form() on urlencoded input; JSON-only APIs and services where Starlette is a transitive dependency not used for form parsing are not affected.",
          "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 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-54283"
        },
        {
          "category": "external",
          "summary": "RHBZ#2491440",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2491440"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-54283",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-54283"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-54283",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-54283"
        },
        {
          "category": "external",
          "summary": "https://github.com/Kludex/starlette/security/advisories/GHSA-82w8-qh3p-5jfq",
          "url": "https://github.com/Kludex/starlette/security/advisories/GHSA-82w8-qh3p-5jfq"
        }
      ],
      "release_date": "2026-06-22T16:46:16.706000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-06T16:44:03+00:00",
          "details": "For more information visit https://access.redhat.com/errata/RHSA-2026:36006",
          "product_ids": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:36006"
        },
        {
          "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 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "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": [
            "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "starlette: Starlette: request.form() limits silently ignored for application/x-www-form-urlencoded enable DoS"
    }
  ]
}

{
  "document": {
    "aggregate_severity": {
      "text": "mittel"
    },
    "category": "csaf_base",
    "csaf_version": "2.0",
    "distribution": {
      "tlp": {
        "label": "WHITE",
        "url": "https://www.first.org/tlp/"
      }
    },
    "lang": "de-DE",
    "notes": [
      {
        "category": "legal_disclaimer",
        "text": "Das BSI ist als Anbieter f\u00fcr die eigenen, zur Nutzung bereitgestellten Inhalte nach den allgemeinen Gesetzen verantwortlich. Nutzerinnen und Nutzer sind jedoch daf\u00fcr verantwortlich, die Verwendung und/oder die Umsetzung der mit den Inhalten bereitgestellten Informationen sorgf\u00e4ltig im Einzelfall zu pr\u00fcfen."
      },
      {
        "category": "description",
        "text": "Open Source vLLM ist eine Open-Source-Bibliothek f\u00fcr schnelle und effiziente Inferenz von Large Language Models (LLMs).",
        "title": "Produktbeschreibung"
      },
      {
        "category": "summary",
        "text": "Ein Angreifer kann mehrere Schwachstellen in vllm ausnutzen, um Dateien zu manipulieren, Sicherheitsma\u00dfnahmen zu umgehen, vertrauliche Informationen offenzulegen oder einen Denial-of-Service-Zustand herbeizuf\u00fchren.",
        "title": "Angriff"
      },
      {
        "category": "general",
        "text": "- Sonstiges\n- UNIX",
        "title": "Betroffene Betriebssysteme"
      }
    ],
    "publisher": {
      "category": "other",
      "contact_details": "csaf-provider@cert-bund.de",
      "name": "Bundesamt f\u00fcr Sicherheit in der Informationstechnik",
      "namespace": "https://www.bsi.bund.de"
    },
    "references": [
      {
        "category": "self",
        "summary": "WID-SEC-W-2026-0987 - CSAF Version",
        "url": "https://wid.cert-bund.de/.well-known/csaf/white/2026/wid-sec-w-2026-0987.json"
      },
      {
        "category": "self",
        "summary": "WID-SEC-2026-0987 - Portal Version",
        "url": "https://wid.cert-bund.de/portal/wid/securityadvisory?name=WID-SEC-2026-0987"
      },
      {
        "category": "external",
        "summary": "GitHub Security Advisory GHSA-pf3h-qjgv-vcpr vom 2026-04-07",
        "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-pf3h-qjgv-vcpr"
      },
      {
        "category": "external",
        "summary": "GitHub Security Advisory GHSA-pq5c-rjhq-qp7p vom 2026-04-07",
        "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-pq5c-rjhq-qp7p"
      },
      {
        "category": "external",
        "summary": "GitHub Security Advisory GHSA-3mwp-wvh9-7528 vom 2026-04-07",
        "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-3mwp-wvh9-7528"
      },
      {
        "category": "external",
        "summary": "GitHub Security Advisory GHSA-6c4r-fmh3-7rh8 vom 2026-04-07",
        "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-6c4r-fmh3-7rh8"
      },
      {
        "category": "external",
        "summary": "vllm releases vom 2026-04-07",
        "url": "https://github.com/vllm-project/vllm/releases"
      }
    ],
    "source_lang": "en-US",
    "title": "vllm: Mehrere Schwachstellen",
    "tracking": {
      "current_release_date": "2026-04-07T22:00:00.000+00:00",
      "generator": {
        "date": "2026-04-08T09:54:21.440+00:00",
        "engine": {
          "name": "BSI-WID",
          "version": "1.5.0"
        }
      },
      "id": "WID-SEC-W-2026-0987",
      "initial_release_date": "2026-04-07T22:00:00.000+00:00",
      "revision_history": [
        {
          "date": "2026-04-07T22:00:00.000+00:00",
          "number": "1",
          "summary": "Initiale Fassung"
        }
      ],
      "status": "final",
      "version": "1"
    }
  },
  "product_tree": {
    "branches": [
      {
        "branches": [
          {
            "branches": [
              {
                "category": "product_version_range",
                "name": "\u003c0.19.0",
                "product": {
                  "name": "Open Source vllm \u003c0.19.0",
                  "product_id": "T052442"
                }
              },
              {
                "category": "product_version",
                "name": "0.19.0",
                "product": {
                  "name": "Open Source vllm 0.19.0",
                  "product_id": "T052442-fixed",
                  "product_identification_helper": {
                    "cpe": "cpe:/a:vllm:vllm:0.19.0"
                  }
                }
              }
            ],
            "category": "product_name",
            "name": "vllm"
          }
        ],
        "category": "vendor",
        "name": "Open Source"
      }
    ]
  },
  "vulnerabilities": [
    {
      "cve": "CVE-2026-34753",
      "product_status": {
        "known_affected": [
          "T052442"
        ]
      },
      "release_date": "2026-04-07T22:00:00.000+00:00",
      "title": "CVE-2026-34753"
    },
    {
      "cve": "CVE-2026-34755",
      "product_status": {
        "known_affected": [
          "T052442"
        ]
      },
      "release_date": "2026-04-07T22:00:00.000+00:00",
      "title": "CVE-2026-34755"
    },
    {
      "cve": "CVE-2026-34756",
      "product_status": {
        "known_affected": [
          "T052442"
        ]
      },
      "release_date": "2026-04-07T22:00:00.000+00:00",
      "title": "CVE-2026-34756"
    },
    {
      "cve": "CVE-2026-34760",
      "product_status": {
        "known_affected": [
          "T052442"
        ]
      },
      "release_date": "2026-04-07T22:00:00.000+00:00",
      "title": "CVE-2026-34760"
    }
  ]
}