{"data":{"id":"d44d337e-11a6-4447-9fdb-da227e1e77f8","title":"CVE-2025-55560: An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse","summary":"PyTorch version 2.7.0 has a vulnerability (CVE-2025-55560) that causes a Denial of Service (DoS, where a system becomes unavailable or unresponsive) when a model uses specific sparse tensor functions (torch.Tensor.to_sparse() and torch.Tensor.to_dense()) and is compiled by Inductor (PyTorch's code compilation tool). This issue stems from uncontrolled resource consumption, meaning the system uses up too many computing resources.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-55560","publishedAt":"2025-09-25T20:15:35.197Z","cveId":"CVE-2025-55560","cweIds":["CWE-400"],"cvssScore":"7.5","cvssSeverity":"high","severity":"high","attackType":["denial_of_service"],"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":0.00118,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-125","CAPEC-130"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}