CVE-2026-11816

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Exploitation of this vulnerability can result in arbitrary file writes outside the intended extraction directory, enabling attackers to overwrite configuration files, inject malicious code, or corrupt machine learning datasets and pipelines."}, {"lang": "es", "value": "Las versiones de Keras anteriores a la 3.14.0 son vulnerables a un problema de salto de ruta en las utilidades de extracci\u00f3n de archivos ubicadas en \u2019keras/src/utils/file_utils.py\u2019. Las funciones \u2019filter_safe_tarinfos()\u2019 y \u2019filter_safe_zipinfos()\u2019 validan las rutas de los miembros del archivo contra el directorio de trabajo actual del proceso (CWD) en lugar del destino de extracci\u00f3n real. Cuando el proceso se ejecuta con CWD establecido en \u2019/\u2019, lo cual es com\u00fan en contenedores Docker, ejecutores de CI/CD y entornos Jupyter, el l\u00edmite de validaci\u00f3n se convierte en la ra\u00edz del sistema de archivos, permitiendo que las rutas de salto eludan la comprobaci\u00f3n de seguridad. Adem\u00e1s, el filtro zip contiene un error que causa un \u2019AttributeError\u2019 cuando se encuentra una entrada bloqueada, lo que lleva a una extracci\u00f3n incompleta. Adem\u00e1s, las instalaciones de Python 3.11 carecen de la red de seguridad \u2019filter=\u201cdata\u201d\u2019, dej\u00e1ndolas completamente dependientes del filtro defectuoso basado en CWD. La explotaci\u00f3n de esta vulnerabilidad puede resultar en escrituras de archivos arbitrarias fuera del directorio de extracci\u00f3n previsto, permitiendo a los atacantes sobrescribir archivos de configuraci\u00f3n, inyectar c\u00f3digo malicioso o corromper conjuntos de datos y pipelines de aprendizaje autom\u00e1tico."}], "id": "CVE-2026-11816", "lastModified": "2026-10-26T11:10:00.157", "metrics": {"cvssMetricV30": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 8.1, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N", "version": "3.0"}, "exploitabilityScore": 2.8, "impactScore": 5.2, "source": "security@huntr.dev", "type": "Secondary"}], "cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 8.1, "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:N", "version": "3.1"}, "exploitabilityScore": 2.8, "impactScore": 5.2, "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c", "type": "Secondary"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2026-11816", "options": [{"exploitation": "poc"}, {"automatable": "no"}, {"technicalImpact": "total"}], "role": "CISA Coordinator", "timestamp": "2026-06-11T15:41:25.614048Z", "version": "2.0.3"}}]}, "published": "2026-06-11T14:16:26.557", "references": [{"source": "security@huntr.dev", "tags": ["Patch"], "url": "https://github.com/keras-team/keras/commit/2465b6657b02c8eed308759b7e800e295ae01888"}, {"source": "security@huntr.dev", "tags": ["Exploit", "Third Party Advisory"], "url": "https://huntr.com/bounties/a07e3983-7158-4419-af2b-38f1dea01a4f"}, {"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c", "url": "https://access.redhat.com/errata/RHSA-2026:42644"}, {"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c", "tags": ["Mitigation", "Third Party Advisory"], "url": "https://access.redhat.com/security/cve/CVE-2026-11816"}, {"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c", "tags": ["Third Party Advisory"], "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2487912"}, {"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "tags": ["Exploit", "Third Party Advisory"], "url": "https://huntr.com/bounties/a07e3983-7158-4419-af2b-38f1dea01a4f"}, {"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c", "tags": ["Third Party Advisory"], "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-11816.json"}], "sourceIdentifier": "security@huntr.dev", "vulnStatus": "Modified", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-22"}], "source": "security@huntr.dev", "type": "Secondary"}, {"description": [{"lang": "en", "value": "CWE-22"}], "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c", "type": "Secondary"}]}

{"bugzilla": {"description": "keras: Keras: Arbitrary file write via path traversal in archive extraction utilities", "id": "2487912", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2487912"}, "csaw": false, "cvss3": {"cvss3_base_score": "8.1", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N", "status": "draft"}, "cwe": "CWE-22", "details": ["Keras versions prior to 3.14.0 are vulnerable to a path traversal issue in the archive extraction utilities located in `keras/src/utils/file_utils.py`. The functions `filter_safe_tarinfos()` and `filter_safe_zipinfos()` validate archive member paths against the process current working directory (CWD) instead of the actual extraction destination. When the process runs with CWD set to `/`, which is common in Docker containers, CI/CD runners, and Jupyter environments, the validation boundary becomes the filesystem root, allowing traversal paths to bypass the security check. Additionally, the zip filter contains a bug that causes an `AttributeError` when a blocked entry is encountered, leading to incomplete extraction. Furthermore, Python 3.11 installations lack the `filter=\"data\"` safety net, leaving them entirely reliant on the flawed CWD-based filter. Exploitation of this vulnerability can result in arbitrary file writes outside the intended extraction directory, enabling attackers to overwrite configuration files, inject malicious code, or corrupt machine learning datasets and pipelines.", "A flaw was found in Keras. Attackers can exploit a path traversal vulnerability in the archive extraction utilities, specifically `filter_safe_tarinfos()` and `filter_safe_zipinfos()`. This occurs because the validation of archive member paths is performed against the process's current working directory (CWD) instead of the actual extraction destination. When the CWD is set to the filesystem root, this allows malicious paths to bypass security checks. Successful exploitation can lead to arbitrary file writes outside the intended directory, potentially enabling attackers to overwrite critical configuration files, inject malicious code, or corrupt machine learning data."], "mitigation": {"lang": "en:us", "value": "To mitigate this issue, avoid extracting archives from untrusted sources. When archive extraction is necessary, ensure that the operation is performed within a dedicated, restricted directory by explicitly changing the current working directory to a non-root, isolated location before extraction. This limits the potential impact of arbitrary file writes."}, "name": "CVE-2026-11816", "package_state": [{"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-kserve-agent-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-kserve-controller-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-kserve-router-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-kserve-storage-initializer-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-modelmesh-runtime-adapter-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2026-06-11T13:31:52Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-11816\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-11816\nhttps://github.com/keras-team/keras/commit/2465b6657b02c8eed308759b7e800e295ae01888\nhttps://huntr.com/bounties/a07e3983-7158-4419-af2b-38f1dea01a4f"], "statement": "Exploitation requires processing a crafted archive (default CNA vector includes UI:R). For RHOAI, the highest-risk path is KServe storage-initializer auto-extraction of attacker-supplied model artifacts (Important), not unauthenticated network RCE.", "threat_severity": "Important"}

{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[0,3.14.0)"}}], "enrichment": {"confidence": 100.0, "confidence_source": "manual", "scores": [{"score": 100.0, "source": "manual"}]}, "original": {"product": "keras-team/keras", "source": "cna", "vendor": "keras-team"}, "product": "keras", "vendor": "keras-team"}], "created": "2026-06-11T20:00:22.846601+00:00", "updated": "2026-06-12T20:18:06.303951+00:00", "vendors": ["keras-team", "keras-team$PRODUCT$keras"]}