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

Vulnerability from cvelistv5 – Published: 2025-04-03 03:31 – Updated: 2025-04-03 13:31
VLAI
Title
PyTorch CUDACachingAllocator.cpp torch.cuda.memory.caching_allocator_delete memory corruption
Summary
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
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
Assigner
References
Impacted products
Vendor Product Version CPE status
n/a PyTorch Affected: 2.6.0
Credits
Default436352 (VulDB User)
Show details on NVD website
To clipboard 

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              "value": "VulDB entry created"
            },
            {
              "lang": "en",
              "time": "2025-04-02T22:52:42.000Z",
              "value": "VulDB entry last update"
            }
          ],
          "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"
    }
  }
}



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Tags
Taxonomy of the tags.





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

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.


Detection rules are retrieved from Rulezet.


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.