CVE-2026-11816
HighCVSS 8.1Exploitation Probability (EPSS)
Low risk33th percentile - higher than 33% of all known CVEs
Summary
A path traversal vulnerability in Keras versions prior to 3.14.0 affects archive extraction utilities. The validation functions check paths against the current working directory (CWD) instead of the actual extraction destination, allowing bypass in environments like Docker, CI/CD, or Jupyter where CWD is '/', leading to arbitrary file writes.
Risk Assessment
An attacker can overwrite configuration files, inject malicious code, or corrupt machine learning datasets and pipelines, compromising system integrity and potentially gaining control over the application.
Recommendation
Upgrade Keras to version 3.14.0 or later immediately. In Python 3.11 environments lacking the 'data' filter, additionally implement manual validation of extracted archives.
Original NVD description (English source)
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.