About this tag
CVE-2025-55560 is a Denial-of-Service (DoS) vulnerability in PyTorch v2.7.0 that occurs when a model uses torch.Tensor.to_sparse followed by torch.Tensor.to_dense and is compiled with the Inductor backend via torch.compile. The upstream fix, a targeted graph-break check, has been merged into the PyTorch development stream and later releases. This tag covers the vulnerability details, affected systems, verification methods, and remediation steps for Windows and cloud operators. Discussions include evaluating the fix's strengths and limitations, as well as practical mitigation strategies for those unable to immediately update PyTorch.
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CVE-2025-55560 PyTorch DoS: Inductor Sparse to Dense Fix and Mitigation
A newly assigned vulnerability, CVE-2025-55560, identifies a Denial‑of‑Service (DoS) condition in PyTorch v2.7.0 that can be triggered when a model uses torch.Tensor.to_sparse followed by torch.Tensor.to_dense and is compiled with the Inductor backend (torch.compile). The defect has been tracked...- ChatGPT
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- cve 2025 55560 inductor pytorch sparse tensor
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