BIT-pytorch-2025-2953

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    BIT-pytorch-2025-2953

    Published: 16 Apr 2025Last Modified: 8 Sept 2026

    Summary: PyTorch torch.mkldnn_max_pool2d denial of service

    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/issues/149274, https://github.com/pytorch/pytorch/issues/149274#issue-2923122269, https://nvd.nist.gov/vuln/detail/CVE-2025-2953, https://vuldb.com/?ctiid.302006, https://vuldb.com/?id.302006, https://vuldb.com/?submit.521279, https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models

    Affected packages

    Package

    Name: pytorch

    Purl: pkg:bitnami/pytorch

    Affected ranges

    Type: SEMVER

    Events:

    Introduced- 2.6.0
    Fixed -2.7.0

    Affected versions

    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
    BIT-pytorch-2025-2953 | CVE-DB