CVE-2025-2998 (GCVE-0-2025-2998)

Vulnerability from cvelistv5 – Published: 2025-03-31 14:00 – Updated: 2025-03-31 15:27
VLAI
Title
PyTorch torch.nn.utils.rnn.pad_packed_sequence memory corruption
Summary
A vulnerability was found in PyTorch 2.6.0. It has been declared as critical. Affected by this vulnerability is the function torch.nn.utils.rnn.pad_packed_sequence. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-31 15:27 UTC
CWE
Assigner
VulDB CNA under the mitre root
CNA scorecard B 83/100 over 3792 records in the last 180 days details
References
URL Tags
https://vuldb.com/?id.302047 vdb-entrytechnical-description
https://vuldb.com/?ctiid.302047 signaturepermissions-required
https://vuldb.com/?submit.524151 third-party-advisory
https://github.com/pytorch/pytorch/issues/149622 issue-tracking
https://github.com/pytorch/pytorch/issues/149622#… exploitissue-tracking
Impacted products
Vendor Product Version CPE status
n/a PyTorch Affected: 2.6.0
Show details on NVD website

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-2998",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-03-31T15:27:13.920920Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-03-31T15:27:27.537Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "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 was found in PyTorch 2.6.0. It has been declared as critical. Affected by this vulnerability is the function torch.nn.utils.rnn.pad_packed_sequence. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used."
        },
        {
          "lang": "de",
          "value": "In PyTorch 2.6.0 wurde eine kritische Schwachstelle ausgemacht. Betroffen ist die Funktion torch.nn.utils.rnn.pad_packed_sequence. Durch das Beeinflussen mit unbekannten Daten kann eine memory corruption-Schwachstelle ausgenutzt werden. Der Angriff muss lokal angegangen werden. 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:L/VI:L/VA:L/SC:N/SI:N/SA:N",
            "version": "4.0"
          }
        },
        {
          "cvssV3_1": {
            "baseScore": 5.3,
            "baseSeverity": "MEDIUM",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
            "version": "3.1"
          }
        },
        {
          "cvssV3_0": {
            "baseScore": 5.3,
            "baseSeverity": "MEDIUM",
            "vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
            "version": "3.0"
          }
        },
        {
          "cvssV2_0": {
            "baseScore": 4.3,
            "vectorString": "AV:L/AC:L/Au:S/C:P/I:P/A:P",
            "version": "2.0"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-119",
              "description": "Memory Corruption",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-03-31T14:00:12.169Z",
        "orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
        "shortName": "VulDB"
      },
      "references": [
        {
          "name": "VDB-302047 | PyTorch torch.nn.utils.rnn.pad_packed_sequence memory corruption",
          "tags": [
            "vdb-entry",
            "technical-description"
          ],
          "url": "https://vuldb.com/?id.302047"
        },
        {
          "name": "VDB-302047 | CTI Indicators (IOB, IOC, IOA)",
          "tags": [
            "signature",
            "permissions-required"
          ],
          "url": "https://vuldb.com/?ctiid.302047"
        },
        {
          "name": "Submit #524151 | pytorch torch 2.6.0 Segmentation fault",
          "tags": [
            "third-party-advisory"
          ],
          "url": "https://vuldb.com/?submit.524151"
        },
        {
          "tags": [
            "issue-tracking"
          ],
          "url": "https://github.com/pytorch/pytorch/issues/149622"
        },
        {
          "tags": [
            "exploit",
            "issue-tracking"
          ],
          "url": "https://github.com/pytorch/pytorch/issues/149622#issue-2935495265"
        }
      ],
      "timeline": [
        {
          "lang": "en",
          "time": "2025-03-30T00:00:00.000Z",
          "value": "Advisory disclosed"
        },
        {
          "lang": "en",
          "time": "2025-03-30T01:00:00.000Z",
          "value": "VulDB entry created"
        },
        {
          "lang": "en",
          "time": "2025-03-30T19:47:37.000Z",
          "value": "VulDB entry last update"
        }
      ],
      "title": "PyTorch torch.nn.utils.rnn.pad_packed_sequence memory corruption"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
    "assignerShortName": "VulDB",
    "cveId": "CVE-2025-2998",
    "datePublished": "2025-03-31T14:00:12.169Z",
    "dateReserved": "2025-03-30T17:42:25.483Z",
    "dateUpdated": "2025-03-31T15:27:27.537Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2025-2998",
      "date": "2026-11-01",
      "epss": "0.00202",
      "percentile": "0.10152"
    },
    "microsoft_vex": {
      "current_release_date": "2025-11-15T01:01:24.000Z",
      "cve": "CVE-2025-2998",
      "id": "msrc_CVE-2025-2998",
      "initial_release_date": "2025-03-02T00:00:00.000Z",
      "product_status:known_affected": "2",
      "source": "Microsoft CSAF VEX",
      "status": "final",
      "title": "PyTorch torch.nn.utils.rnn.pad_packed_sequence memory corruption",
      "url": "https://msrc.microsoft.com/csaf/vex/2025/msrc_cve-2025-2998.json",
      "version": "1"
    },
    "nvd": {
      "cve": {
        "affected": [
          {
            "affectedData": [
              {
                "product": "PyTorch",
                "vendor": "n/a",
                "versions": [
                  {
                    "status": "affected",
                    "version": "2.6.0"
                  }
                ]
              }
            ],
            "source": "cna@vuldb.com"
          }
        ],
        "configurations": [
          {
            "nodes": [
              {
                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:a:linuxfoundation:pytorch:2.6.0:-:*:*:*:python:*:*",
                    "matchCriteriaId": "19797EF9-77EA-4144-B8F3-226022865A09",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "A vulnerability was found in PyTorch 2.6.0. It has been declared as critical. Affected by this vulnerability is the function torch.nn.utils.rnn.pad_packed_sequence. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used."
          },
          {
            "lang": "es",
            "value": "Se encontr\u00f3 una vulnerabilidad en PyTorch 2.6.0. Se ha declarado cr\u00edtica. Esta vulnerabilidad afecta a la funci\u00f3n torch.nn.utils.rnn.pad_packed_sequence. La manipulaci\u00f3n provoca corrupci\u00f3n de memoria. Se requiere acceso local para abordar este ataque. Se ha hecho p\u00fablico el exploit y puede que sea utilizado."
          }
        ],
        "id": "CVE-2025-2998",
        "lastModified": "2026-06-17T09:08:00.727",
        "metrics": {
          "cvssMetricV2": [
            {
              "acInsufInfo": false,
              "baseSeverity": "MEDIUM",
              "cvssData": {
                "accessComplexity": "LOW",
                "accessVector": "LOCAL",
                "authentication": "SINGLE",
                "availabilityImpact": "PARTIAL",
                "baseScore": 4.3,
                "confidentialityImpact": "PARTIAL",
                "integrityImpact": "PARTIAL",
                "vectorString": "AV:L/AC:L/Au:S/C:P/I:P/A:P",
                "version": "2.0"
              },
              "exploitabilityScore": 3.1,
              "impactScore": 6.4,
              "obtainAllPrivilege": false,
              "obtainOtherPrivilege": false,
              "obtainUserPrivilege": false,
              "source": "cna@vuldb.com",
              "type": "Secondary",
              "userInteractionRequired": false
            }
          ],
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "LOCAL",
                "availabilityImpact": "LOW",
                "baseScore": 5.3,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "LOW",
                "integrityImpact": "LOW",
                "privilegesRequired": "LOW",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
                "version": "3.1"
              },
              "exploitabilityScore": 1.8,
              "impactScore": 3.4,
              "source": "cna@vuldb.com",
              "type": "Secondary"
            }
          ],
          "cvssMetricV40": [
            {
              "cvssData": {
                "Automatable": "NOT_DEFINED",
                "Recovery": "NOT_DEFINED",
                "Safety": "NOT_DEFINED",
                "attackComplexity": "LOW",
                "attackRequirements": "NONE",
                "attackVector": "LOCAL",
                "availabilityRequirement": "NOT_DEFINED",
                "baseScore": 4.8,
                "baseSeverity": "MEDIUM",
                "confidentialityRequirement": "NOT_DEFINED",
                "exploitMaturity": "NOT_DEFINED",
                "integrityRequirement": "NOT_DEFINED",
                "modifiedAttackComplexity": "NOT_DEFINED",
                "modifiedAttackRequirements": "NOT_DEFINED",
                "modifiedAttackVector": "NOT_DEFINED",
                "modifiedPrivilegesRequired": "NOT_DEFINED",
                "modifiedSubAvailabilityImpact": "NOT_DEFINED",
                "modifiedSubConfidentialityImpact": "NOT_DEFINED",
                "modifiedSubIntegrityImpact": "NOT_DEFINED",
                "modifiedUserInteraction": "NOT_DEFINED",
                "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
                "modifiedVulnConfidentialityImpact": "NOT_DEFINED",
                "modifiedVulnIntegrityImpact": "NOT_DEFINED",
                "privilegesRequired": "LOW",
                "providerUrgency": "NOT_DEFINED",
                "subAvailabilityImpact": "NONE",
                "subConfidentialityImpact": "NONE",
                "subIntegrityImpact": "NONE",
                "userInteraction": "NONE",
                "valueDensity": "NOT_DEFINED",
                "vectorString": "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",
                "version": "4.0",
                "vulnAvailabilityImpact": "LOW",
                "vulnConfidentialityImpact": "LOW",
                "vulnIntegrityImpact": "LOW",
                "vulnerabilityResponseEffort": "NOT_DEFINED"
              },
              "source": "cna@vuldb.com",
              "type": "Secondary"
            }
          ],
          "ssvcV203": [
            {
              "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "ssvcData": {
                "id": "CVE-2025-2998",
                "options": [
                  {
                    "exploitation": "poc"
                  },
                  {
                    "automatable": "no"
                  },
                  {
                    "technicalImpact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-03-31T15:27:13.920920Z",
                "version": "2.0.3"
              }
            }
          ]
        },
        "published": "2025-03-31T14:15:20.370",
        "references": [
          {
            "source": "cna@vuldb.com",
            "tags": [
              "Issue Tracking",
              "Vendor Advisory"
            ],
            "url": "https://github.com/pytorch/pytorch/issues/149622"
          },
          {
            "source": "cna@vuldb.com",
            "tags": [
              "Issue Tracking",
              "Vendor Advisory"
            ],
            "url": "https://github.com/pytorch/pytorch/issues/149622#issue-2935495265"
          },
          {
            "source": "cna@vuldb.com",
            "tags": [
              "Permissions Required",
              "VDB Entry"
            ],
            "url": "https://vuldb.com/?ctiid.302047"
          },
          {
            "source": "cna@vuldb.com",
            "tags": [
              "Third Party Advisory",
              "VDB Entry"
            ],
            "url": "https://vuldb.com/?id.302047"
          },
          {
            "source": "cna@vuldb.com",
            "tags": [
              "Third Party Advisory",
              "VDB Entry"
            ],
            "url": "https://vuldb.com/?submit.524151"
          }
        ],
        "sourceIdentifier": "cna@vuldb.com",
        "vulnStatus": "Analyzed",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-119"
              }
            ],
            "source": "cna@vuldb.com",
            "type": "Secondary"
          }
        ]
      }
    },
    "redhat_vex": {
      "current_release_date": "2025-05-28T17:45:47+00:00",
      "cve": "CVE-2025-2998",
      "id": "CVE-2025-2998",
      "initial_release_date": "2025-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "PyTorch torch.nn.utils.rnn.pad_packed_sequence memory corruption",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-2998.json",
      "version": "3"
    },
    "vulnrichment": {
      "containers": {
        "adp": [
          {
            "metrics": [
              {
                "other": {
                  "content": {
                    "id": "CVE-2025-2998",
                    "options": [
                      {
                        "Exploitation": "poc"
                      },
                      {
                        "Automatable": "no"
                      },
                      {
                        "Technical Impact": "partial"
                      }
                    ],
                    "role": "CISA Coordinator",
                    "timestamp": "2025-03-31T15:27:13.920920Z",
                    "version": "2.0.3"
                  },
                  "type": "ssvc"
                }
              }
            ],
            "providerMetadata": {
              "dateUpdated": "2025-03-31T15:27:21.882Z",
              "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "shortName": "CISA-ADP"
            },
            "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 was found in PyTorch 2.6.0. It has been declared as critical. Affected by this vulnerability is the function torch.nn.utils.rnn.pad_packed_sequence. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used."
            },
            {
              "lang": "de",
              "value": "In PyTorch 2.6.0 wurde eine kritische Schwachstelle ausgemacht. Betroffen ist die Funktion torch.nn.utils.rnn.pad_packed_sequence. Durch das Beeinflussen mit unbekannten Daten kann eine memory corruption-Schwachstelle ausgenutzt werden. Der Angriff muss lokal angegangen werden. 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:L/VI:L/VA:L/SC:N/SI:N/SA:N",
                "version": "4.0"
              }
            },
            {
              "cvssV3_1": {
                "baseScore": 5.3,
                "baseSeverity": "MEDIUM",
                "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
                "version": "3.1"
              }
            },
            {
              "cvssV3_0": {
                "baseScore": 5.3,
                "baseSeverity": "MEDIUM",
                "vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
                "version": "3.0"
              }
            },
            {
              "cvssV2_0": {
                "baseScore": 4.3,
                "vectorString": "AV:L/AC:L/Au:S/C:P/I:P/A:P",
                "version": "2.0"
              }
            }
          ],
          "problemTypes": [
            {
              "descriptions": [
                {
                  "cweId": "CWE-119",
                  "description": "Memory Corruption",
                  "lang": "en",
                  "type": "CWE"
                }
              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2025-03-31T14:00:12.169Z",
            "orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
            "shortName": "VulDB"
          },
          "references": [
            {
              "name": "VDB-302047 | PyTorch torch.nn.utils.rnn.pad_packed_sequence memory corruption",
              "tags": [
                "vdb-entry",
                "technical-description"
              ],
              "url": "https://vuldb.com/?id.302047"
            },
            {
              "name": "VDB-302047 | CTI Indicators (IOB, IOC, IOA)",
              "tags": [
                "signature",
                "permissions-required"
              ],
              "url": "https://vuldb.com/?ctiid.302047"
            },
            {
              "name": "Submit #524151 | pytorch torch 2.6.0 Segmentation fault",
              "tags": [
                "third-party-advisory"
              ],
              "url": "https://vuldb.com/?submit.524151"
            },
            {
              "tags": [
                "issue-tracking"
              ],
              "url": "https://github.com/pytorch/pytorch/issues/149622"
            },
            {
              "tags": [
                "exploit",
                "issue-tracking"
              ],
              "url": "https://github.com/pytorch/pytorch/issues/149622#issue-2935495265"
            }
          ],
          "timeline": [
            {
              "lang": "en",
              "time": "2025-03-30T00:00:00.000Z",
              "value": "Advisory disclosed"
            },
            {
              "lang": "en",
              "time": "2025-03-30T01:00:00.000Z",
              "value": "VulDB entry created"
            },
            {
              "lang": "en",
              "time": "2025-03-30T19:47:37.000Z",
              "value": "VulDB entry last update"
            }
          ],
          "title": "PyTorch torch.nn.utils.rnn.pad_packed_sequence memory corruption"
        }
      },
      "cveMetadata": {
        "assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
        "assignerShortName": "VulDB",
        "cveId": "CVE-2025-2998",
        "datePublished": "2025-03-31T14:00:12.169Z",
        "dateReserved": "2025-03-30T17:42:25.483Z",
        "dateUpdated": "2025-03-31T15:27:27.537Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
Events included in the timeline

Loading timeline…


    Loading…

    Loading…

    Loading…

    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.