medium5.3
CVE-2025-2998
PyTorch is Vulnerable to Memory Consumption through pad_packed_sequence Function
Impact
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.
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | torch | <= 2.6.0 | none recorded |
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.302047
- https://vuldb.com/?id.302047
- https://vuldb.com/?submit.524151
- https://github.com/advisories/GHSA-f4hp-rmr7-r7v8
- https://nvd.nist.gov/vuln/detail/CVE-2025-2998
- https://github.com/pytorch/pytorch/commit/494518046816d29099b7d056a74ffa5c244fdcdd
- https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-192.yaml