Vulnerability-Lookup

PYSEC-2025-197

Vulnerability from pysec - Published: 2025-04-03 04:15 - Updated: 2025-05-28 15:59

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

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

Impacted products

Name	purl
torch	pkg:pypi/torch

Aliases

CVE-2025-3136

JSON

To clipboard

{
  "affected": [
    {
      "ecosystem_specific": {},
      "package": {
        "ecosystem": "PyPI",
        "name": "torch",
        "purl": "pkg:pypi/torch"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "2.6.0-NA"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-3136"
  ],
  "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": "PYSEC-2025-197",
  "modified": "2025-05-28T15:59:54.130Z",
  "published": "2025-04-03T04:15:38.540Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://vuldb.com/?id.303041"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/ARPANET-cybersecurity/vuldb/issues/2"
    },
    {
      "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": "EVIDENCE",
      "url": "https://vuldb.com/?submit.525252"
    }
  ],
  "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"
    }
  ]
}

CVE-2025-3136 (GCVE-0-2025-3136)

Vulnerability from cvelistv5 – Published: 2025-04-03 03:31 – Updated: 2025-04-03 13:31

Title

PyTorch CUDACachingAllocator.cpp torch.cuda.memory.caching_allocator_delete memory corruption

Summary

Severity

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

3.3 (Low)


                        
                          CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

3.3 (Low)


                        
                          CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-03 13:31 UTC

CWE

CWE-119 - Memory Corruption

Assigner

VulDB CNA under the mitre root

CNA scorecard B 83/100 over 3792 records in the last 180 days details

References

7 references

URL	Tags
https://vuldb.com/?id.303041	vdb-entrytechnical-description
https://vuldb.com/?ctiid.303041	signaturepermissions-required
https://vuldb.com/?submit.525252	third-party-advisory
https://github.com/pytorch/pytorch/issues/149821	issue-tracking
https://github.com/pytorch/pytorch/issues/149821#…	issue-tracking
https://github.com/pytorch/pytorch/issues/149821#…	exploitissue-tracking
https://github.com/ARPANET-cybersecurity/vuldb/issues/2	exploit

Impacted products

1 product

Vendor	Product	Version
n/a	PyTorch	Affected: 2.6.0

Credits

Default436352 (VulDB User)

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-3136",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-04-03T13:31:24.297584Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-04-03T13:31:31.510Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "references": [
          {
            "tags": [
              "exploit"
            ],
            "url": "https://github.com/ARPANET-cybersecurity/vuldb/issues/2"
          }
        ],
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "PyTorch",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "2.6.0"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "reporter",
          "value": "Default436352 (VulDB User)"
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "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."
        },
        {
          "lang": "de",
          "value": "Eine Schwachstelle wurde in PyTorch 2.6.0 entdeckt. Sie wurde als problematisch eingestuft. Es geht hierbei um die Funktion torch.cuda.memory.caching_allocator_delete der Datei c10/cuda/CUDACachingAllocator.cpp. Mit der Manipulation mit unbekannten Daten kann eine memory corruption-Schwachstelle ausgenutzt werden. Umgesetzt werden muss der Angriff lokal. Der Exploit steht zur \u00f6ffentlichen Verf\u00fcgung."
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "baseScore": 4.8,
            "baseSeverity": "MEDIUM",
            "vectorString": "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",
            "version": "4.0"
          }
        },
        {
          "cvssV3_1": {
            "baseScore": 3.3,
            "baseSeverity": "LOW",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
            "version": "3.1"
          }
        },
        {
          "cvssV3_0": {
            "baseScore": 3.3,
            "baseSeverity": "LOW",
            "vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
            "version": "3.0"
          }
        },
        {
          "cvssV2_0": {
            "baseScore": 1.7,
            "vectorString": "AV:L/AC:L/Au:S/C:N/I:N/A:P",
            "version": "2.0"
          }
        }
      ],
      "problemTypes": [
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          "descriptions": [
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              "cweId": "CWE-119",
              "description": "Memory Corruption",
              "lang": "en",
              "type": "CWE"
            }
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      ],
      "providerMetadata": {
        "dateUpdated": "2025-04-03T03:31:05.598Z",
        "orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
        "shortName": "VulDB"
      },
      "references": [
        {
          "name": "VDB-303041 | PyTorch CUDACachingAllocator.cpp torch.cuda.memory.caching_allocator_delete memory corruption",
          "tags": [
            "vdb-entry",
            "technical-description"
          ],
          "url": "https://vuldb.com/?id.303041"
        },
        {
          "name": "VDB-303041 | CTI Indicators (IOB, IOC, IOA)",
          "tags": [
            "signature",
            "permissions-required"
          ],
          "url": "https://vuldb.com/?ctiid.303041"
        },
        {
          "name": "Submit #525252 | pytorch pytorch (in torch.cuda.memory.caching_allocator_delete) torch 2.6.0 invalid memory access",
          "tags": [
            "third-party-advisory"
          ],
          "url": "https://vuldb.com/?submit.525252"
        },
        {
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          "url": "https://github.com/pytorch/pytorch/issues/149821"
        },
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          "url": "https://github.com/pytorch/pytorch/issues/149821#issuecomment-2765311086"
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          "time": "2025-04-02T02:00:00.000Z",
          "value": "VulDB entry created"
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          "lang": "en",
          "time": "2025-04-02T22:52:42.000Z",
          "value": "VulDB entry last update"
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      "title": "PyTorch CUDACachingAllocator.cpp torch.cuda.memory.caching_allocator_delete memory corruption"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
    "assignerShortName": "VulDB",
    "cveId": "CVE-2025-3136",
    "datePublished": "2025-04-03T03:31:05.598Z",
    "dateReserved": "2025-04-02T20:47:37.099Z",
    "dateUpdated": "2025-04-03T13:31:31.510Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

Sightings

Author	Source	Type	Date	Other

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.

Vulnerability timeline

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

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