{"data":{"id":"66535585-2357-4fa6-b54f-f895b627e46c","title":"CVE-2024-48063: In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is","summary":"PyTorch versions 2.4.1 and earlier contain a vulnerability in RemoteModule that allows RCE (remote code execution, where an attacker can run commands on a system they don't own) through deserialization of untrusted data. However, multiple parties dispute whether this is actually a security flaw, arguing it is intended behavior in PyTorch's distributed computing features (tools for running AI computations across multiple machines).","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2024-48063","publishedAt":"2024-10-30T01:15:04.080Z","cveId":"CVE-2024-48063","cweIds":["CWE-502"],"cvssScore":"9.8","cvssSeverity":"critical","severity":"critical","attackType":["model_theft"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["PyTorch"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.18488,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-586"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}