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        },
        {
          "label": "vulnerable_code_not_in_execute_path",
          "product_ids": [
            "red_hat_openshift_ai_(rhoai):rhoai/odh-codeflare-operator-rhel8",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-codeflare-operator-rhel9"
          ]
        }
      ],
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2433612"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in PyTorch, a Python package for tensor computation. A remote attacker could craft a malicious checkpoint file, which, when loaded using the `weights_only` unpickler, could lead to memory corruption. This vulnerability may enable an attacker to achieve arbitrary code execution on the affected system.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "pytorch: PyTorch: Arbitrary code execution via malicious checkpoint file loading",
          "title": "Vulnerability summary"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product's 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-2026-24747"
        },
        {
          "category": "external",
          "summary": "RHBZ#2433612",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2433612"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-24747",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-24747"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-24747",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24747"
        },
        {
          "category": "external",
          "summary": "https://github.com/pytorch/pytorch/163122/commit/954dc5183ee9205cbe79876ad05dd2d9ae752139",
          "url": "https://github.com/pytorch/pytorch/163122/commit/954dc5183ee9205cbe79876ad05dd2d9ae752139"
        },
        {
          "category": "external",
          "summary": "https://github.com/pytorch/pytorch/issues/163105",
          "url": "https://github.com/pytorch/pytorch/issues/163105"
        },
        {
          "category": "external",
          "summary": "https://github.com/pytorch/pytorch/releases/tag/v2.10.0",
          "url": "https://github.com/pytorch/pytorch/releases/tag/v2.10.0"
        },
        {
          "category": "external",
          "summary": "https://github.com/pytorch/pytorch/security/advisories/GHSA-63cw-57p8-fm3p",
          "url": "https://github.com/pytorch/pytorch/security/advisories/GHSA-63cw-57p8-fm3p"
        }
      ],
      "release_date": "2026-01-27T21:13:46.878000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-06-10T04:27:13+00:00",
          "details": "For Red Hat OpenShift AI 2.25.7 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": [
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          ],
          "url": "https://access.redhat.com/errata/RHSA-2026:24977"
        }
      ],
      "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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            "Red Hat OpenShift AI 2.25:registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9@sha256:1b2fab74fd60d270518bc5efa3cb726c6538afe5ecebce765ce351dbf6e9d855_arm64",
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            "Red Hat OpenShift AI 2.25:registry.redhat.io/rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9@sha256:3b6c51bd4150a564db37acfc7cc7afc1eba598014725076c9327e9f50ecc7f63_amd64",
            "Red Hat OpenShift AI 2.25:registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:08f57b4e50964b7340b30dc29271d3ac8d0adb6ddb59cc05413f8c56a4589d21_arm64",
            "Red Hat OpenShift AI 2.25:registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:3bfab4583a488cec61a29f72327c6bc118fffe342dbe4ad37a3d09c6eef589bf_ppc64le",
            "Red Hat OpenShift AI 2.25:registry.redhat.io/rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9@sha256:3d0bb5184b0193f1527ec754c8ab20c1862876a939e7cae5a83c8b841172faf5_amd64",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-codeflare-operator-rhel8",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-codeflare-operator-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-training-rocm62-torch24-py311-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-training-rocm62-torch25-py311-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-training-rocm64-torch28-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9"
          ]
        }
      ],
      "title": "pytorch: PyTorch: Arbitrary code execution via malicious checkpoint file loading"
    }
  ]
}