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This CVE record has been updated after NVD enrichment efforts were completed. Enrichment data supplied by the NVD may require amendment due to these changes.
Description
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.
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CVE Modified by redhat-SADP7/14/2026 10:18:04 PM
Action
Type
Old Value
New Value
Changed
Affected
[{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"affected","cpes":["cpe:/a:redhat:openshift_ai"]}]
[{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"unaffected","collectionURL":"https://access.redhat.com/downloads/content/package-browser/","packageName":"rhoai/odh-kserve-agent-rhel9","cpes":["cpe:/a:redhat:openshift_ai"]},{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"unaffected","collectionURL":"https://access.redhat.com/downloads/content/package-browser/","packageName":"rhoai/odh-kserve-controller-rhel9","cpes":["cpe:/a:redhat:openshift_ai"]},{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"unaffected","collectionURL":"https://access.redhat.com/downloads/content/package-browser/","packageName":"rhoai/odh-kserve-router-rhel9","cpes":["cpe:/a:redhat:openshift_ai"]},{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"affected","collectionURL":"https://access.redhat.com/downloads/content/package-browser/","packageName":"rhoai/odh-kserve-storage-initializer-rhel9","cpes":["cpe:/a:redhat:openshift_ai"]},{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"affected","collectionURL":"https://access.redhat.com/downloads/content/package-browser/","packageName":"rhoai/odh-modelmesh-runtime-adapter-rhel9","cpes":["cpe:/a:redhat:openshift_ai"]},{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"affected","collectionURL":"https://access.redhat.com/downloads/content/package-browser/","packageName":"rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9","cpes":["cpe:/a:redhat:openshift_ai"]},{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"affected","collectionURL":"https://access.redhat.com/downloads/content/package-browser/","packageName":"rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9","cpes":["cpe:/a:redhat:openshift_ai"]},{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"affected","collectionURL":"https://access.redhat.com/downloads/content/package-browser/","packageName":"rhoai/odh-workben
Initial Analysis by NIST7/01/2026 9:54:11 AM
Action
Type
Old Value
New Value
Added
CPE Configuration
OR
*cpe:2.3:a:keras:keras:*:*:*:*:*:*:*:* versions up to (excluding) 3.14.0
Added
Reference Type
CISA-ADP: https://huntr.com/bounties/a07e3983-7158-4419-af2b-38f1dea01a4f Types: Exploit, Third Party Advisory
New CVE Received from huntr.dev6/11/2026 10:16:26 AM
Action
Type
Old Value
New Value
Added
Description
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.
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