GitHub Advisoryadvisory · PyPI
GHSA-4f3f-g24h-fr8m Keras has an untrusted deserialization vulnerability
HIGH
Official page ↗
- Aliases
- CVE-2026-1462
- Ecosystem
- PyPI
- Packages
- keras
- Severity
- High
- CVSS vector
- CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- Weaknesses
- CWE-502
- Reviewed
- 2026-04-14
Affected packages
• PyPI keras: < 3.13.2 → fixed in 3.13.2
Description
A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. This bypasses the security guarantees of `safe_mode` and enables arbitrary attacker-controlled code execution during model inference under the victim's privileges. The issue arises due to the unconditional loading of external SavedModels, serialization of attacker-controlled file paths, and the lack of validation in the `from_config()` method.
Related
Alias · CVE (1)
- CVE-2026-1462 A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be… vulnerability
Weakness · CWE (1)
- CWE-502 Deserialization of Untrusted Data weakness
References
- https://nvd.nist.gov/vuln/detail/CVE-2026-1462 advisory
- https://github.com/keras-team/keras/pull/22035 web
- https://github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f163f web
- https://github.com/keras-team/keras package
- https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331c web