{"data":{"id":"7d2b9558-9839-4d43-b22e-27bc25073075","title":"CVE-2026-1462: A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow S","summary":"A vulnerability in keras version 3.13.0 allows attackers to run their own code when a model is loaded, even when `safe_mode=True` (a setting meant to prevent unsafe operations). The problem occurs because the `TFSMLayer` class loads external TensorFlow SavedModels (pre-trained model files) without checking if they're safe, and doesn't properly validate file paths or configuration data.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-1462","publishedAt":"2026-04-13T15:17:18.967Z","cveId":"CVE-2026-1462","cweIds":["CWE-502"],"cvssScore":null,"cvssSeverity":null,"severity":"critical","attackType":["model_poisoning"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["Keras","TensorFlow"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0,"patchAvailable":null,"disclosureDate":"2026-04-13T15:17:18.967Z","capecIds":["CAPEC-586"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","confidentiality"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}