PYSEC-2025-193

Vulnerability from pysec - Published: 2025-03-31 15:15 - Updated: 2025-05-29 15:53
VLAI
Details

A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.

Impacted products
Name purl
torch pkg:pypi/torch
Aliases

{
  "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-2025-2999"
  ],
  "details": "A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.",
  "id": "PYSEC-2025-193",
  "modified": "2025-05-29T15:53:46.950Z",
  "published": "2025-03-31T15:15:44.657Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://vuldb.com/?id.302048"
    },
    {
      "type": "ADVISORY",
      "url": "https://vuldb.com/?submit.524198"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/pytorch/pytorch/issues/149622"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/pytorch/pytorch/issues/149622#issue-2935495265"
    },
    {
      "type": "REPORT",
      "url": "https://vuldb.com/?ctiid.302048"
    }
  ],
  "severity": [
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/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"
    }
  ]
}


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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

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.

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