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.
{
"cna_assigner": "@huntr_ai",
"cwe_ids": [
"CWE-502"
],
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/1xxx/CVE-2026-1462.json"
}{
"extracted_events": [
{
"cpe": "cpe:2.3:a:keras:keras:3.13.0:*:*:*:*:*:*:*",
"range": [
{
"introduced": "3.13.0"
},
{
"last_affected": "3.13.0"
}
],
"source": "CPE_STRING"
},
{
"range": [
{
"fixed": "b6773d3decaef1b05d8e794458e148cb362f163f"
}
],
"source": "REFERENCES_COMMIT"
}
]
}