CVE-2025-2998
2 advisories.
PyPI/torch CVE-2025-2998: medium 5.3
PyTorch is Vulnerable to Memory Consumption through pad_packed_sequence Function
Action: No fix published. Pin and monitor.
Affected
| introduced | fixed | last affected |
|---|---|---|
| 0 | - | 2.6.0 |
Fixed versions
No fixed version in the source.
Sources
- osv: GHSA-f4hp-rmr7-r7v8
- 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
CVE-2025-2998 · published · modified · JSON
PyPI/torch CVE-2025-2998: unknown
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 co
Action: No fix published. Pin and monitor.
Affected
| introduced | fixed | last affected |
|---|---|---|
| 0 | - | 2.6.0-NA |
Fixed versions
No fixed version in the source.
Sources
- osv: PYSEC-2025-192
- https://vuldb.com/?id.302047
- https://vuldb.com/?submit.524151
- https://github.com/pytorch/pytorch/issues/149622
- https://github.com/pytorch/pytorch/issues/149622#issue-2935495265
- https://vuldb.com/?ctiid.302047
- https://github.com/advisories/GHSA-f4hp-rmr7-r7v8
CVE-2025-2998 · published · modified · JSON