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 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.

ID	Name	Product	Family	Severity
271296	NewStart CGSL MAIN 7.02 : pytorch Vulnerability (NS-SA-2025-0250)	Nessus	NewStart CGSL Local Security Checks	critical
257838	Linux Distros Unpatched Vulnerability : CVE-2025-32434	Nessus	Misc.	critical
235263	Azure Linux 3.0 Security Update: pytorch (CVE-2025-32434)	Nessus	Azure Linux Local Security Checks	critical
235214	CBL Mariner 2.0 Security Update: pytorch (CVE-2025-32434)	Nessus	MarinerOS Local Security Checks	critical

Detections

Analytics

CVE-2025-32434

critical

Tenable Plugins

critical

critical

critical

critical