{"data":{"id":"1327d022-e830-4f47-b3d1-471247239bd9","title":"CVE-2025-49655: Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not inc","summary":"CVE-2025-49655 is a vulnerability in Keras (a machine learning framework) versions 3.11.0 through 3.11.2 where deserialization (converting saved data back into usable form) of untrusted data can allow malicious code to run on a user's computer when they load a specially crafted Keras file, even if safe mode is enabled. This vulnerability affects both locally stored and remotely downloaded files.","solution":"Update Keras to version 3.11.3 or later. The GitHub pull request at https://github.com/keras-team/keras/pull/21575 contains the fix.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-49655","publishedAt":"2025-10-17T20:15:37.420Z","cveId":"CVE-2025-49655","cweIds":["CWE-502"],"cvssScore":"9.8","cvssSeverity":"critical","severity":"critical","attackType":["model_theft"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["Keras"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00098,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-586"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}