PYSEC-2025-191

    Dashboard / Vulnerabilities / PYSEC-2025-191

    PYSEC-2025-191

    Published: 30 Mar 2025Last Modified: 10 Jun 2026

    Summary:

    Details: 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. The real existence of this vulnerability is still doubted at the moment. The security policy of the project warns to use unknown models which might establish malicious effects.

    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

    Affected packages

    Package

    Name: torch

    Purl: pkg:pypi/torch

    Affected ranges

    Type: ECOSYSTEM

    Events:

    Introduced- 0
    Fixed -None

    Affected versions

    1.0.0
    1.0.1

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High
    PYSEC-2025-191 | CVE-DB