PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0.

The remote Debian 11 host has packages installed that are affected by a vulnerability as referenced in the dla-4389 advisory.

    -------------------------------------------------------------------------     Debian LTS Advisory DLA-4389-1                debian-lts@lists.debian.org     https://www.debian.org/lts/security/                       Daniel Leidert     December 01, 2025                             https://wiki.debian.org/LTS
    -------------------------------------------------------------------------

    Package        : pytorch     Version        : 1.7.1-7+deb11u1     CVE ID         : CVE-2025-32434


    A possible remote code execution (RCE) vulnerability has been     discovered in pytorch, an open source machine learning framework.


    CVE-2025-32434

       Possible RCE when loading a model using torch.load with        weights_only=True.


    For Debian 11 bullseye, this problem has been fixed in version     1.7.1-7+deb11u1.

    We recommend that you upgrade your pytorch packages.

    For the detailed security status of pytorch please refer to     its security tracker page at:
    https://security-tracker.debian.org/tracker/pytorch

    Further information about Debian LTS security advisories, how to apply     these updates to your system and frequently asked questions can be     found at: https://wiki.debian.org/LTS     Attachment:
    signature.asc     Description: This is a digitally signed message part

Tenable has extracted the preceding description block directly from the Debian security advisory.

Note that Nessus has not tested for this issue but has instead relied only on the application's self-reported version number.

The remote NewStart CGSL host, running version MAIN 7.02, has pytorch packages installed that are affected by a vulnerability:

  - PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural     networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution     (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This     issue has been patched in version 2.6.0. (CVE-2025-32434)

Note that Nessus has not tested for these issues but has instead relied only on the application's self-reported version number.

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available.

  - PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural     networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution     (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This     issue has been patched in version 2.6.0. (CVE-2025-32434)

Note that Nessus relies on the presence of the package as reported by the vendor.

The version of pytorch installed on the remote Azure Linux 3.0 host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the CVE-2025-32434 advisory.

  - PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural     networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution     (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This     issue has been patched in version 2.6.0. (CVE-2025-32434)

Note that Nessus has not tested for this issue but has instead relied only on the application's self-reported version number.

The version of pytorch installed on the remote CBL Mariner 2.0 host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the CVE-2025-32434 advisory.

  - PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural     networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution     (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This     issue has been patched in version 2.6.0. (CVE-2025-32434)

Note that Nessus has not tested for this issue but has instead relied only on the application's self-reported version number.

There are packages installed that are affected by a vulnerability referenced in the following CVE:

  - PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural
    networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution
    (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This
    issue has been patched in version 2.6.0. (CVE-2025-32434)

ID	Name	Product	Family	Type	Severity
277299	Debian dla-4389 : libtorch-dev - security update	Nessus	Debian Local Security Checks	Local	critical
271296	NewStart CGSL MAIN 7.02 : pytorch Vulnerability (NS-SA-2025-0250)	Nessus	NewStart CGSL Local Security Checks	Local	critical
257838	Linux Distros Unpatched Vulnerability : CVE-2025-32434	Nessus	Misc.	Local	critical
235263	Azure Linux 3.0 Security Update: pytorch (CVE-2025-32434)	Nessus	Azure Linux Local Security Checks	Local	critical
235214	CBL Mariner 2.0 Security Update: pytorch (CVE-2025-32434)	Nessus	MarinerOS Local Security Checks	Local	critical
425745	SCA: security update for torch (GHSA-53q9-r3pm-6pq6)	Tenable Cloud Security	SCA Checks	Local	critical
425745	SCA: security update for torch (GHSA-53q9-r3pm-6pq6)	Tenable Self-Hosted Container Security	SCA Checks	Local	critical

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