CVE-2026-1462
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`.
Does this matter?
High impact if exploited, but EPSS currently rates exploitation as unlikely (0.40%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit.
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.
- CVSS 3.1
- 7.8 HIGHCVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- EPSS
- 0.40% probability · 34th percentile
- CISA KEV
- Not listed
- Weakness
- CWE-502
- Affected
- keras/keras · redhat/openshift ai
- Source
- security@huntr.dev
References
- https://github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f163fPatch
- https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331cExploit, Third Party Advisory
- https://access.redhat.com/errata/RHSA-2026:24977Third Party Advisory
- https://access.redhat.com/errata/RHSA-2026:37275
- https://access.redhat.com/security/cve/CVE-2026-1462Third Party Advisory
- https://bugzilla.redhat.com/show_bug.cgi?id=2457856Issue Tracking, Third Party Advisory
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-1462.jsonThird Party Advisory
Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.