CVE-2026-11816— Keras 路径遍历漏洞

Path Traversal in keras-team/keras

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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对路径名的限制不恰当(路径遍历)

Keras 路径遍历漏洞

Keras是Keras开源的一个多后端深度学习框架。 Keras 3.14.0之前版本存在路径遍历漏洞，该漏洞源于归档提取工具中路径遍历问题，filter_safe_tarinfos()和filter_safe_zipinfos()函数验证归档成员路径时使用进程当前工作目录而非实际提取目标，可能导致任意文件写入目标目录之外，攻击者可覆盖配置文件、注入恶意代码或破坏机器学习数据集和管道。

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