A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. 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 name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue. The security policy of the project warns to use unknown models which might establish malicious effects.

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

  - A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function
    torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. 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 name of the
    patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue.
    The security policy of the project warns to use unknown models which might establish malicious effects.
    (CVE-2025-3730)

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

  - A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function     torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. 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 name of the     patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue.
    The security policy of the project warns to use unknown models which might establish malicious effects.
    (CVE-2025-3730)

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-2025-3730 advisory.

  - A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function     torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. 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 name of the     patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue.
    The security policy of the project warns to use unknown models which might establish malicious effects.
    (CVE-2025-3730)

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-2025-3730 advisory.

  - A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function     torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. 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 name of the     patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue.
    The security policy of the project warns to use unknown models which might establish malicious effects.
    (CVE-2025-3730)

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	Type	Severity
435170	SCA: security update for torch (GHSA-887c-mr87-cxwp)	Tenable Cloud Security	SCA Checks	Local	medium
435170	SCA: security update for torch (GHSA-887c-mr87-cxwp)	Tenable Self-Hosted Container Security	SCA Checks	Local	medium
259468	Linux Distros Unpatched Vulnerability : CVE-2025-3730	Nessus	Misc.	Local	medium
235330	Azure Linux 3.0 Security Update: pytorch (CVE-2025-3730)	Nessus	Azure Linux Local Security Checks	Local	medium
235281	CBL Mariner 2.0 Security Update: pytorch (CVE-2025-3730)	Nessus	MarinerOS Local Security Checks	Local	medium

Detections

Analytics

CVE-2025-3730

medium

Tenable Plugins

medium

medium

medium

medium

medium