GitHub Advisoryadvisory · PyPI
GHSA-f4hp-rmr7-r7v8 PyTorch is Vulnerable to Memory Consumption through pad_packed_sequence Function
MEDIUM
Official page ↗
- Aliases
- CVE-2025-2998
- Ecosystem
- PyPI
- Packages
- torch
- Severity
- Moderate
- CVSS vector
- CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
- Weaknesses
- CWE-119
- Reviewed
- 2026-06-09
Affected packages
• PyPI torch: <= 2.6.0 (no fix yet)
Description
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.
Related
Alias · CVE (1)
- CVE-2025-2998 A vulnerability was found in PyTorch 2.6.0. vulnerability
Weakness · CWE (1)
- CWE-119 Improper Restriction of Operations within the Bounds of a Memory Buffer weakness
References
- https://nvd.nist.gov/vuln/detail/CVE-2025-2998 advisory
- https://github.com/pytorch/pytorch/issues/149622 web
- https://github.com/pytorch/pytorch/issues/149622#issue-2935495265 web
- https://github.com/pytorch/pytorch/commit/494518046816d29099b7d056a74ffa5c244fdcdd web
- https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-192.yaml web
- https://github.com/pytorch/pytorch package
- https://vuldb.com/?ctiid.302047 web
- https://vuldb.com/?id.302047 web
- https://vuldb.com/?submit.524151 web