Vulnerability from bitnami_vulndb
Published
2025-05-29 12:18
Modified
2025-05-29 12:44
Summary
PyTorch LossCTC.cpp torch.nn.functional.ctc_loss denial of service
Details

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.

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{
  "affected": [
    {
      "package": {
        "ecosystem": "Bitnami",
        "name": "pytorch",
        "purl": "pkg:bitnami/pytorch"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.7.0"
            }
          ],
          "type": "SEMVER"
        }
      ],
      "severity": [
        {
          "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
          "type": "CVSS_V4"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-3730"
  ],
  "database_specific": {
    "cpes": [
      "cpe:2.3:a:linuxfoundation:pytorch:*:*:*:*:*:python:*:*"
    ],
    "severity": "Medium"
  },
  "details": "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.",
  "id": "BIT-pytorch-2025-3730",
  "modified": "2025-05-29T12:44:55.860Z",
  "published": "2025-05-29T12:18:15.090Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/pytorch/issues/150835"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/pytorch/issues/150835#issue-2979082232"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/pytorch/pull/150981"
    },
    {
      "type": "WEB",
      "url": "https://github.com/timocafe/tewart-pytorch/commit/46fc5d8e360127361211cb237d5f9eef0223e567"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-3730"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?ctiid.305076"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?id.305076"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?submit.553645"
    }
  ],
  "schema_version": "1.6.2",
  "summary": "PyTorch LossCTC.cpp torch.nn.functional.ctc_loss denial of service"
}


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Sightings

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



Detection rules are retrieved from Rulezet.