ubuntu-cve-2025-3136
Vulnerability from osv_ubuntu
Published
2025-04-03 04:15
Modified
2026-05-20 15:15
Summary
Details

A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.caching_allocator_delete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.

Severity
3.3 (Low)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
4.8 (Medium)
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
N/A (UNKNOWN)
medium
References
To clipboard 

{
  "affected": [
    {
      "ecosystem_specific": {
        "binaries": [
          {
            "binary_name": "libtorch-test",
            "binary_version": "1.8.1-4"
          },
          {
            "binary_name": "libtorch1.8",
            "binary_version": "1.8.1-4"
          },
          {
            "binary_name": "python3-torch",
            "binary_version": "1.8.1-4"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:22.04:LTS",
        "name": "pytorch",
        "purl": "pkg:deb/ubuntu/pytorch@1.8.1-4?arch=source\u0026distro=jammy"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.7.1-7",
        "1.8.1-4"
      ]
    },
    {
      "ecosystem_specific": {
        "binaries": [
          {
            "binary_name": "libtorch-test",
            "binary_version": "2.6.0+dfsg-7"
          },
          {
            "binary_name": "libtorch2.6",
            "binary_version": "2.6.0+dfsg-7"
          },
          {
            "binary_name": "python3-torch",
            "binary_version": "2.6.0+dfsg-7"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:25.10",
        "name": "pytorch",
        "purl": "pkg:deb/ubuntu/pytorch@2.6.0+dfsg-7?arch=source\u0026distro=questing"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.6.0+dfsg-5build1",
        "2.6.0+dfsg-7"
      ]
    },
    {
      "ecosystem_specific": {
        "binaries": [
          {
            "binary_name": "libtorch-test",
            "binary_version": "2.9.1+dfsg-1~exp1ubuntu2"
          },
          {
            "binary_name": "libtorch2.9",
            "binary_version": "2.9.1+dfsg-1~exp1ubuntu2"
          },
          {
            "binary_name": "python3-torch",
            "binary_version": "2.9.1+dfsg-1~exp1ubuntu2"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:26.04:LTS",
        "name": "pytorch",
        "purl": "pkg:deb/ubuntu/pytorch@2.9.1+dfsg-1~exp1ubuntu2?arch=source\u0026distro=resolute"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.6.0+dfsg-7",
        "2.6.0+dfsg-9",
        "2.9.1+dfsg-1~exp1ubuntu2"
      ]
    }
  ],
  "aliases": [],
  "details": "A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.caching_allocator_delete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.",
  "id": "UBUNTU-CVE-2025-3136",
  "modified": "2026-05-20T15:15:56Z",
  "published": "2025-04-03T04:15:00Z",
  "references": [
    {
      "type": "REPORT",
      "url": "https://ubuntu.com/security/CVE-2025-3136"
    },
    {
      "type": "REPORT",
      "url": "https://www.cve.org/CVERecord?id=CVE-2025-3136"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/pytorch/pytorch/issues/149821"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/pytorch/pytorch/issues/149821#issue-2940838975"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/pytorch/pytorch/issues/149821#issuecomment-2765311086"
    },
    {
      "type": "REPORT",
      "url": "https://vuldb.com/?ctiid.303041"
    },
    {
      "type": "REPORT",
      "url": "https://vuldb.com/?id.303041"
    },
    {
      "type": "REPORT",
      "url": "https://vuldb.com/?submit.525252"
    }
  ],
  "related": [],
  "schema_version": "1.7.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
      "type": "CVSS_V3"
    },
    {
      "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",
      "type": "CVSS_V4"
    },
    {
      "score": "medium",
      "type": "Ubuntu"
    }
  ],
  "upstream": [
    "CVE-2025-3136"
  ]
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • 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.