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This vulnerability allows an attacker to execute unauthorized code on a victim's system. It occurs when a victim loads a specially crafted `.keras` model, even if the `safe_mode` security feature is active. The issue arises because the `keras` package can unconditionally load external TensorFlow SavedModels without sufficient validation, thereby bypassing the intended security protections and leading to arbitrary code execution.", "title": "Vulnerability description" }, { "category": "summary", "text": "keras: Keras: Arbitrary Code Execution Vulnerability Bypassing Safe Mode", "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": { "fixed": [ "Red Hat OpenShift AI 2.25:registry.redhat.io/rhoai/odh-modelmesh-runtime-adapter-rhel9@sha256:bab8d514f884640433da2a9cc4a073a579d623d85934bdaaa0003a9c8453e59f_arm64", "Red Hat OpenShift AI 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"https://www.cve.org/CVERecord?id=CVE-2026-1462", "url": "https://www.cve.org/CVERecord?id=CVE-2026-1462" }, { "category": "external", "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-1462", "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-1462" }, { "category": "external", "summary": "https://github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f163f", "url": "https://github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f163f" }, { "category": "external", "summary": "https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331c", "url": "https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331c" } ], "release_date": "2026-04-13T14:55:28.649000+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": [ "Red Hat OpenShift AI 2.25:registry.redhat.io/rhoai/odh-modelmesh-runtime-adapter-rhel9@sha256:bab8d514f884640433da2a9cc4a073a579d623d85934bdaaa0003a9c8453e59f_arm64", "Red Hat OpenShift AI 2.25:registry.redhat.io/rhoai/odh-modelmesh-runtime-adapter-rhel9@sha256:f9f7586b27642d05f380b67f8755e992415bc9345a67e1f73898494aef0d679f_amd64" ], "url": "https://access.redhat.com/errata/RHSA-2026:24977" }, { "category": "vendor_fix", "date": "2026-07-09T11:57:58+00:00", "details": "For Red Hat OpenShift AI 3.3.5 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 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"red_hat_openshift_ai_(rhoai):rhoai/odh-kserve-storage-initializer-rhel9", "red_hat_openshift_ai_(rhoai):rhoai/odh-modelmesh-runtime-adapter-rhel8" ] } ], "title": "keras: Keras: Arbitrary Code Execution Vulnerability Bypassing Safe Mode" } ] }