{"resultsPerPage":1,"startIndex":0,"totalResults":1,"format":"NVD_CVE","version":"2.0","timestamp":"2026-05-05T11:11:22.035","vulnerabilities":[{"cve":{"id":"CVE-2026-1462","sourceIdentifier":"security@huntr.dev","published":"2026-04-13T15:17:18.967","lastModified":"2026-04-17T15:34:21.867","vulnStatus":"Awaiting Analysis","cveTags":[],"descriptions":[{"lang":"en","value":"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."}],"metrics":{"cvssMetricV30":[{"source":"security@huntr.dev","type":"Secondary","cvssData":{"version":"3.0","vectorString":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","baseScore":8.8,"baseSeverity":"HIGH","attackVector":"NETWORK","attackComplexity":"LOW","privilegesRequired":"NONE","userInteraction":"REQUIRED","scope":"UNCHANGED","confidentialityImpact":"HIGH","integrityImpact":"HIGH","availabilityImpact":"HIGH"},"exploitabilityScore":2.8,"impactScore":5.9}]},"weaknesses":[{"source":"security@huntr.dev","type":"Primary","description":[{"lang":"en","value":"CWE-502"}]}],"references":[{"url":"https://github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f163f","source":"security@huntr.dev"},{"url":"https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331c","source":"security@huntr.dev"}]}}]}