5 matches found
Keras has an untrusted deserialization vulnerability
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 safemode=True. This bypasses the security guarantees of safemode and enables arbitrary attacker-controlled...
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 safemode=True. This bypasses the security guarantees of safemode and enables arbitrary attacker-controlled...
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 safemode=True. This bypasses the security guarantees of safemode and enables arbitrary attacker-controlled...
CVE-2026-1462 Safe Mode Bypass in keras-team/keras
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 safemode=True. This bypasses the security guarantees of safemode and enables arbitrary attacker-controlled...
CVE-2026-1462
The CVE-2026-1462 issue affects the keras package (v3.13.0) via the TFSMLayer deserialization path. The vulnerability allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of .keras models, even when safe_mode is enabled, due to unconditional loading of external Sa...