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. 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.
Package Versions Affected
Automatically patch vulnerabilities without upgrading
CVSS Version



Related Resources
References
https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331c, https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-1462.json, https://access.redhat.com/errata/RHSA-2026:24977, https://access.redhat.com/security/cve/CVE-2026-1462, https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/1xxx/CVE-2026-1462.json, https://nvd.nist.gov/vuln/detail/CVE-2026-1462, https://bugzilla.redhat.com/show_bug.cgi?id=2457856, https://github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f163f