GHSA-f4hp-rmr7-r7v8
PyTorch is Vulnerable to Memory Consumption through pad_packed_sequence Function
Packages
Details
As written in the advisory (Markdown source, shown as plain text).
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
External links from the advisory. They lead to third-party sites.
- https://nvd.nist.gov/vuln/detail/CVE-2025-2998
- https://github.com/pytorch/pytorch/issues/149622
- https://github.com/pytorch/pytorch/issues/149622#issue-2935495265
- https://github.com/pytorch/pytorch/commit/494518046816d29099b7d056a74ffa5c244fdcdd
- https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-192.yaml
- https://github.com/pytorch/pytorch
- https://vuldb.com/?ctiid.302047
- https://vuldb.com/?id.302047
- https://vuldb.com/?submit.524151