PyTorch susceptible to local Denial of Service
A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnn_max_pool2d. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.
Affected software
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| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | torch | < 2.7.1-rc1 | 2.7.1-rc1 |
References
- https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models
- https://vuldb.com/?id.302006
- https://vuldb.com/?submit.521279
- https://github.com/pytorch/pytorch/issues/149274
- https://github.com/pytorch/pytorch/issues/149274#issue-2923122269
- https://vuldb.com/?ctiid.302006
- https://github.com/advisories/GHSA-3749-ghw9-m3mg
- https://nvd.nist.gov/vuln/detail/CVE-2025-2953
- https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-191.yaml
- https://github.com/pytorch/pytorch
- CVSS vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L- Weakness (CWE)
CWE-404- Platform
- Python (PyPI)
- Package
torch- Disclosed
- 30.03.2025
- Updated
- 11.10.2026 15:17
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2025-191 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-3749-ghw9-m3mg - CC BY 4.0
Vulnerability history: torch
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 31
- First → latest
- 11.2022 03.2026
- Without a fix
- 9
- Exploited in attacks
- 0
Severity breakdown
- Critical 3
- High 10
- Medium 11
- Low 5
- Unrated 2
Disclosures per year
- 2022: 1
- 2023: 0
- 2024: 4
- 2025: 24
- 2026: 2
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PyTorch susceptible to local Denial of Service this entry
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