medium5.3
CVE-2025-2999
PyTorch is vulnerable to memory corruption through its unpack_sequence function
Impact
A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used. A patch is available through commit [4945180](https://github.com/pytorch/pytorch/commit/494518046816d29099b7d056a74ffa5c244fdcdd).
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | torch | < 2.9.1 | 2.9.1 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Linuxfoundation | Pytorch | Version 2.6.0 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/pytorch/pytorch/issues/149622
- https://github.com/pytorch/pytorch/issues/149622#issue-2935495265
- https://vuldb.com/?ctiid.302048
- https://vuldb.com/?id.302048
- https://vuldb.com/?submit.524198
- https://github.com/advisories/GHSA-vgrw-7cvw-pwgx
- https://nvd.nist.gov/vuln/detail/CVE-2025-2999
- https://github.com/pytorch/pytorch/commit/494518046816d29099b7d056a74ffa5c244fdcdd
- https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-193.yaml