Deserialization of Untrusted Data Affecting py3.11-keras package, versions <3.13.2-r0
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Start learning- Snyk IDSNYK-MINIMOSLATEST-PY311KERAS-16087207
- published16 Apr 2026
- disclosed13 Apr 2026
Introduced: 13 Apr 2026
NewCVE-2026-1462 (opens in a new tab)How to fix?
Upgrade Minimos:latest py3.11-keras to version 3.13.2-r0 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream py3.11-keras package and not the py3.11-keras package as distributed by Minimos.
See How to fix? for Minimos:latest relevant fixed versions and status.
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.
References
- https://www.cve.org/CVERecord?id=CVE-2026-1462
- https://github.com/advisories/GHSA-4f3f-g24h-fr8m
- https://osv.dev/vulnerability/MINI-j2mx-xh6r-256r
- https://osv.dev/vulnerability/CVE-2026-1462
- https://github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f163f
- https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331c