CVE-2025-2998: PyTorch is Vulnerable to Memory Consumption through pad_packed_sequence Function
(updated )
A vulnerability was found in PyTorch 2.6.0. It has been declared as critical. Affected by this vulnerability is the function torch.nn.utils.rnn.pad_packed_sequence. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.
References
- github.com/advisories/GHSA-f4hp-rmr7-r7v8
- github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-192.yaml
- github.com/pytorch/pytorch/commit/494518046816d29099b7d056a74ffa5c244fdcdd
- github.com/pytorch/pytorch/issues/149622
- github.com/pytorch/pytorch/issues/149622
- nvd.nist.gov/vuln/detail/CVE-2025-2998
- vuldb.com/?ctiid.302047
- vuldb.com/?id.302047
- vuldb.com/?submit.524151
Code Behaviors & Features
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