RHSA-2026:5119

Vulnerability from csaf_redhat - Published: 2026-03-19 12:28 - Updated: 2026-03-20 18:44
Summary
Red Hat Security Advisory: Red Hat OpenShift AI 3.4.0-ea.1 Release
Severity
Important
Notes
Topic: Updated images are now available for Red Hat OpenShift AI.
Details: This advisory contains the container images for Red Hat OpenShift AI 3.4.0-ea.1. This release is provided as Early Access (EA), offering a preview of upcoming features and functionality. It is intended for evaluation and feedback during development. Early Access releases are not supported and are not covered under Red Hat support agreements. They are not intended for production use.
Terms of Use: This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original.
CVE-2026-22807

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

8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE-94 - Improper Control of Generation of Code ('Code Injection')
Vendor Fix For Red Hat OpenShift AI 3.4.0-ea.1 see the following documentation, which will be updated shortly for this release, for important instructions on how to upgrade your cluster and fully apply this errata update: https://docs.redhat.com/en/documentation/red_hat_openshift_ai/ https://access.redhat.com/errata/RHSA-2026:5119
Workaround To mitigate this issue, ensure that vLLM instances are configured to load models only from trusted and verified repositories. Restrict access to the model repository path to prevent unauthorized modification or introduction of malicious code. Implement strict access controls and integrity checks for all model sources.
CVE-2026-24049

A path traversal flaw has been discovered in the python wheel too. The unpack function is vulnerable to file permission modification through mishandling of file permissions after extraction. The logic blindly trusts the filename from the archive header for the chmod operation, even though the extraction process itself might have sanitized the path. Attackers can craft a malicious wheel file that, when unpacked, changes the permissions of critical system files (e.g., /etc/passwd, SSH keys, config files), allowing for Privilege Escalation or arbitrary code execution by modifying now-writable scripts.

7.1 (High)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H
CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Vendor Fix For Red Hat OpenShift AI 3.4.0-ea.1 see the following documentation, which will be updated shortly for this release, for important instructions on how to upgrade your cluster and fully apply this errata update: https://docs.redhat.com/en/documentation/red_hat_openshift_ai/ https://access.redhat.com/errata/RHSA-2026:5119
Workaround 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.
References
To clipboard 

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          ]
        }
      ],
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2431865"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). This vulnerability allows a remote attacker to achieve arbitrary code execution on the vLLM host during model loading. This occurs because vLLM loads Hugging Face `auto_map` dynamic modules without properly validating the `trust_remote_code` setting. By influencing the model repository or path, an attacker can execute malicious Python code at server startup, even before any API requests are handled.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "vLLM: vLLM: Arbitrary code execution via untrusted model loading",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This vulnerability is rated Important for Red Hat as vLLM, an inference and serving engine for large language models, is vulnerable to arbitrary code execution. An attacker influencing the model repository or path can execute malicious Python code during server startup, affecting vLLM versions 0.10.1 through 0.13.x.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
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        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-22807"
        },
        {
          "category": "external",
          "summary": "RHBZ#2431865",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2431865"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-22807",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-22807"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-22807",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-22807"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/commit/78d13ea9de4b1ce5e4d8a5af9738fea71fb024e5",
          "url": "https://github.com/vllm-project/vllm/commit/78d13ea9de4b1ce5e4d8a5af9738fea71fb024e5"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/pull/32194",
          "url": "https://github.com/vllm-project/vllm/pull/32194"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/releases/tag/v0.14.0",
          "url": "https://github.com/vllm-project/vllm/releases/tag/v0.14.0"
        },
        {
          "category": "external",
          "summary": "https://github.com/vllm-project/vllm/security/advisories/GHSA-2pc9-4j83-qjmr",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-2pc9-4j83-qjmr"
        }
      ],
      "release_date": "2026-01-21T21:13:11.894000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-03-19T12:28:39+00:00",
          "details": "For Red Hat OpenShift AI 3.4.0-ea.1 see the following documentation, which will be updated shortly for this release, for important instructions on how to upgrade your cluster and fully apply this errata update:\n\nhttps://docs.redhat.com/en/documentation/red_hat_openshift_ai/",
          "product_ids": [
            "Red Hat OpenShift AI 3.4:registry.redhat.io/rhoai/odh-vllm-gaudi-rhel9@sha256:a71763bda2e2c3a9827771c5a6116f4372fb827f2c7d2324adcd6d6a5eff9d54_amd64"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:5119"
        },
        {
          "category": "workaround",
          "details": "To mitigate this issue, ensure that vLLM instances are configured to load models only from trusted and verified repositories. Restrict access to the model repository path to prevent unauthorized modification or introduction of malicious code. Implement strict access controls and integrity checks for all model sources.",
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      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
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          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "vLLM: vLLM: Arbitrary code execution via untrusted model loading"
    },
    {
      "cve": "CVE-2026-24049",
      "cwe": {
        "id": "CWE-22",
        "name": "Improper Limitation of a Pathname to a Restricted Directory (\u0027Path Traversal\u0027)"
      },
      "discovery_date": "2026-01-22T05:00:54.709179+00:00",
      "flags": [
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          "label": "vulnerable_code_not_present",
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          ]
        }
      ],
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2431959"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A path traversal flaw has been discovered in the python wheel too. The unpack function is vulnerable to file permission modification through mishandling of file permissions after extraction. The logic blindly trusts the filename from the archive header for the chmod operation, even though the extraction process itself might have sanitized the path. Attackers can craft a malicious wheel file that, when unpacked, changes the permissions of critical system files (e.g., /etc/passwd, SSH keys, config files), allowing for Privilege Escalation or arbitrary code execution by modifying now-writable scripts.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "wheel: wheel: Privilege Escalation or Arbitrary Code Execution via malicious wheel file unpacking",
          "title": "Vulnerability summary"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
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        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-24049"
        },
        {
          "category": "external",
          "summary": "RHBZ#2431959",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2431959"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-24049",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-24049"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-24049",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24049"
        },
        {
          "category": "external",
          "summary": "https://github.com/pypa/wheel/commit/7a7d2de96b22a9adf9208afcc9547e1001569fef",
          "url": "https://github.com/pypa/wheel/commit/7a7d2de96b22a9adf9208afcc9547e1001569fef"
        },
        {
          "category": "external",
          "summary": "https://github.com/pypa/wheel/releases/tag/0.46.2",
          "url": "https://github.com/pypa/wheel/releases/tag/0.46.2"
        },
        {
          "category": "external",
          "summary": "https://github.com/pypa/wheel/security/advisories/GHSA-8rrh-rw8j-w5fx",
          "url": "https://github.com/pypa/wheel/security/advisories/GHSA-8rrh-rw8j-w5fx"
        }
      ],
      "release_date": "2026-01-22T04:02:08.706000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-03-19T12:28:39+00:00",
          "details": "For Red Hat OpenShift AI 3.4.0-ea.1 see the following documentation, which will be updated shortly for this release, for important instructions on how to upgrade your cluster and fully apply this errata update:\n\nhttps://docs.redhat.com/en/documentation/red_hat_openshift_ai/",
          "product_ids": [
            "Red Hat OpenShift AI 3.4:registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:0df9430d50a510ab1a2f906c59187e62f8e52131ea7e93fe4d32a94678e5e5b6_ppc64le",
            "Red Hat OpenShift AI 3.4:registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:13da65e17d4e353b578b59a924566625459f8f8a4d88473bab22d7f7d7284bb0_arm64",
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          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2026:5119"
        },
        {
          "category": "workaround",
          "details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
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      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 7.1,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "NONE",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H",
            "version": "3.1"
          },
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          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "wheel: wheel: Privilege Escalation or Arbitrary Code Execution via malicious wheel file unpacking"
    }
  ]
}


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Sightings

Author Source Type Date

Nomenclature

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



Detection rules are retrieved from Rulezet.