{"data":{"id":"c27c4d08-fa0b-4c56-8a7b-de342a4cced0","title":"CVE-2026-1669: Arbitrary file read in the model loading mechanism (HDF5 integration) in Keras versions 3.0.0 through 3.13.1 on all supp","summary":"CVE-2026-1669 is a vulnerability in Keras (a machine learning library) versions 3.0.0 through 3.13.1 that allows attackers to read arbitrary files on a system by uploading a specially crafted model file that exploits HDF5 external dataset references (a feature of HDF5, a file format commonly used to store large amounts of numerical data). An attacker could use this to access sensitive information stored on the affected computer.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-1669","publishedAt":"2026-02-11T23:16:03.750Z","cveId":"CVE-2026-1669","cweIds":["CWE-73","CWE-200"],"cvssScore":null,"cvssSeverity":null,"severity":"high","attackType":["data_extraction"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["Google"],"affectedVendorsRaw":["Keras","Google"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00013,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-116"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}