CVE-2026-44484 (GCVE-0-2026-44484)

Vulnerability from cvelistv5 – Published: 2026-05-14 14:59 – Updated: 2026-07-15 00:53

Title

Compromise of PyTorch Lightning PyPi Package Versions

Summary

PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism.

Severity

9.3 (Critical)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

9.8 (Critical)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-05-15 16:09 UTC

CWE

CWE-506 - Embedded Malicious Code
CWE-829 - Inclusion of Functionality from Untrusted Control Sphere

Assigner

GitHub_M CNA under the mitre root

CNA scorecard C 72/100 over 7585 records in the last 180 days details

References

4 references

URL	Tags
https://github.com/Lightning-AI/pytorch-lightning…	x_refsource_CONFIRM
https://access.redhat.com/security/cve/CVE-2026-44484	vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2477476	issue-trackingx_refsource_REDHAT
https://security.access.redhat.com/data/csaf/v2/v…	x_sadp-csaf-vex

Impacted products

4 products

Vendor	Product	Version	CPE status
Lightning-AI	pytorch-lightning	Affected: 2.6.2 Affected: 2.6.3	guessed
Red Hat	Red Hat AI Inference Server	cpe:/a:redhat:ai_inference_server:3
Red Hat	Red Hat Enterprise Linux AI (RHEL AI) 3	cpe:/a:redhat:enterprise_linux_ai:3
Red Hat	Red Hat OpenShift AI (RHOAI)	cpe:/a:redhat:openshift_ai

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-44484",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-05-15T16:09:05.590623Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-05-15T16:10:36.547Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      },
      {
        "affected": [
          {
            "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
            "cpes": [
              "cpe:/a:redhat:ai_inference_server:3"
            ],
            "defaultStatus": "unaffected",
            "packageName": "rhaiis/vllm-cpu-rhel9",
            "product": "Red Hat AI Inference Server",
            "vendor": "Red Hat"
          },
          {
            "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
            "cpes": [
              "cpe:/a:redhat:ai_inference_server:3"
            ],
            "defaultStatus": "unaffected",
            "packageName": "rhaiis/vllm-cuda-rhel9",
            "product": "Red Hat AI Inference Server",
            "vendor": "Red Hat"
          },
          {
            "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
            "cpes": [
              "cpe:/a:redhat:ai_inference_server:3"
            ],
            "defaultStatus": "unaffected",
            "packageName": "rhaiis/vllm-rocm-rhel9",
            "product": "Red Hat AI Inference Server",
            "vendor": "Red Hat"
          },
          {
            "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
            "cpes": [
              "cpe:/a:redhat:ai_inference_server:3"
            ],
            "defaultStatus": "unaffected",
            "packageName": "rhaiis/vllm-tpu-rhel9",
            "product": "Red Hat AI Inference Server",
            "vendor": "Red Hat"
          },
          {
            "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
            "cpes": [
              "cpe:/a:redhat:enterprise_linux_ai:3"
            ],
            "defaultStatus": "unaffected",
            "packageName": "rhelai3/bootc-aws-cuda-rhel9",
            "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
            "vendor": "Red Hat"
          },
          {
            "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
            "cpes": [
              "cpe:/a:redhat:enterprise_linux_ai:3"
            ],
            "defaultStatus": "unaffected",
            "packageName": "rhelai3/bootc-azure-cuda-rhel9",
            "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
            "vendor": "Red Hat"
          },
          {
            "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
            "cpes": [
              "cpe:/a:redhat:enterprise_linux_ai:3"
            ],
            "defaultStatus": "unaffected",
            "packageName": "rhelai3/bootc-azure-rocm-rhel9",
            "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
            "vendor": "Red Hat"
          },
          {
            "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
            "cpes": [
              "cpe:/a:redhat:enterprise_linux_ai:3"
            ],
            "defaultStatus": "unaffected",
            "packageName": "rhelai3/bootc-cuda-rhel9",
            "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
            "vendor": "Red Hat"
          },
          {
            "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
            "cpes": [
              "cpe:/a:redhat:enterprise_linux_ai:3"
            ],
            "defaultStatus": "unaffected",
            "packageName": "rhelai3/bootc-gcp-cuda-rhel9",
            "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
            "vendor": "Red Hat"
          },
          {
            "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
            "cpes": [
              "cpe:/a:redhat:enterprise_linux_ai:3"
            ],
            "defaultStatus": "unaffected",
            "packageName": "rhelai3/bootc-rocm-rhel9",
            "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
            "vendor": "Red Hat"
          },
          {
            "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
            "cpes": [
              "cpe:/a:redhat:openshift_ai"
            ],
            "defaultStatus": "unaffected",
            "packageName": "rhoai/odh-vllm-gaudi-rhel9",
            "product": "Red Hat OpenShift AI (RHOAI)",
            "vendor": "Red Hat"
          }
        ],
        "datePublic": "2026-05-14T14:59:03.933Z",
        "descriptions": [
          {
            "lang": "en",
            "value": "A flaw was found in PyTorch Lightning. This deep learning framework introduced functionality that could be leveraged as a credential harvesting mechanism. A remote attacker could exploit this to obtain sensitive user credentials, leading to significant information disclosure and potential further system compromise."
          }
        ],
        "metrics": [
          {
            "other": {
              "content": {
                "namespace": "https://access.redhat.com/security/updates/classification/",
                "value": "Important"
              },
              "type": "Red Hat severity rating"
            }
          },
          {
            "cvssV3_1": {
              "attackComplexity": "LOW",
              "attackVector": "NETWORK",
              "availabilityImpact": "HIGH",
              "baseScore": 9.8,
              "baseSeverity": "CRITICAL",
              "confidentialityImpact": "HIGH",
              "integrityImpact": "HIGH",
              "privilegesRequired": "NONE",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
              "version": "3.1"
            },
            "format": "CVSS"
          }
        ],
        "problemTypes": [
          {
            "descriptions": [
              {
                "cweId": "CWE-829",
                "description": "Inclusion of Functionality from Untrusted Control Sphere",
                "lang": "en",
                "type": "CWE"
              }
            ]
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-07-15T00:53:59.223Z",
          "orgId": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
          "shortName": "redhat-SADP"
        },
        "references": [
          {
            "tags": [
              "vdb-entry",
              "x_refsource_REDHAT"
            ],
            "url": "https://access.redhat.com/security/cve/CVE-2026-44484"
          },
          {
            "name": "RHBZ#2477476",
            "tags": [
              "issue-tracking",
              "x_refsource_REDHAT"
            ],
            "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477476"
          },
          {
            "tags": [
              "x_sadp-csaf-vex"
            ],
            "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44484.json"
          }
        ],
        "timeline": [
          {
            "lang": "en",
            "time": "2026-05-14T16:02:06.154Z",
            "value": "Reported to Red Hat."
          },
          {
            "lang": "en",
            "time": "2026-05-14T14:59:03.933Z",
            "value": "Made public."
          }
        ],
        "title": "pytorch-lightning: PyTorch Lightning: Credential harvesting via introduced functionality",
        "x_adpType": "supplier",
        "x_generator": {
          "engine": "sadp-cli 1.0.0"
        }
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "pytorch-lightning",
          "vendor": "Lightning-AI",
          "versions": [
            {
              "status": "affected",
              "version": "2.6.2"
            },
            {
              "status": "affected",
              "version": "2.6.3"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism."
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "attackComplexity": "LOW",
            "attackRequirements": "NONE",
            "attackVector": "NETWORK",
            "baseScore": 9.3,
            "baseSeverity": "CRITICAL",
            "privilegesRequired": "NONE",
            "subAvailabilityImpact": "NONE",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "NONE",
            "userInteraction": "NONE",
            "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
            "version": "4.0",
            "vulnAvailabilityImpact": "HIGH",
            "vulnConfidentialityImpact": "HIGH",
            "vulnIntegrityImpact": "HIGH"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-506",
              "description": "CWE-506: Embedded Malicious Code",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-05-14T14:59:03.933Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/Lightning-AI/pytorch-lightning/security/advisories/GHSA-w37p-236h-pfx3",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/Lightning-AI/pytorch-lightning/security/advisories/GHSA-w37p-236h-pfx3"
        }
      ],
      "source": {
        "advisory": "GHSA-w37p-236h-pfx3",
        "discovery": "UNKNOWN"
      },
      "title": "Compromise of PyTorch Lightning PyPi Package Versions"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-44484",
    "datePublished": "2026-05-14T14:59:03.933Z",
    "dateReserved": "2026-05-06T17:18:51.783Z",
    "dateUpdated": "2026-07-15T00:53:59.223Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2026-44484",
      "date": "2026-10-13",
      "epss": "0.00671",
      "percentile": "0.50735"
    },
    "nvd": {
      "cve": {
        "affected": [
          {
            "affectedData": [
              {
                "product": "pytorch-lightning",
                "vendor": "Lightning-AI",
                "versions": [
                  {
                    "status": "affected",
                    "version": "2.6.2"
                  },
                  {
                    "status": "affected",
                    "version": "2.6.3"
                  }
                ]
              }
            ],
            "source": "security-advisories@github.com"
          },
          {
            "affectedData": [
              {
                "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                "cpes": [
                  "cpe:/a:redhat:ai_inference_server:3"
                ],
                "defaultStatus": "unaffected",
                "packageName": "rhaiis/vllm-cpu-rhel9",
                "product": "Red Hat AI Inference Server",
                "vendor": "Red Hat"
              },
              {
                "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                "cpes": [
                  "cpe:/a:redhat:ai_inference_server:3"
                ],
                "defaultStatus": "unaffected",
                "packageName": "rhaiis/vllm-cuda-rhel9",
                "product": "Red Hat AI Inference Server",
                "vendor": "Red Hat"
              },
              {
                "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                "cpes": [
                  "cpe:/a:redhat:ai_inference_server:3"
                ],
                "defaultStatus": "unaffected",
                "packageName": "rhaiis/vllm-rocm-rhel9",
                "product": "Red Hat AI Inference Server",
                "vendor": "Red Hat"
              },
              {
                "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                "cpes": [
                  "cpe:/a:redhat:ai_inference_server:3"
                ],
                "defaultStatus": "unaffected",
                "packageName": "rhaiis/vllm-tpu-rhel9",
                "product": "Red Hat AI Inference Server",
                "vendor": "Red Hat"
              },
              {
                "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                "cpes": [
                  "cpe:/a:redhat:enterprise_linux_ai:3"
                ],
                "defaultStatus": "unaffected",
                "packageName": "rhelai3/bootc-aws-cuda-rhel9",
                "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
                "vendor": "Red Hat"
              },
              {
                "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                "cpes": [
                  "cpe:/a:redhat:enterprise_linux_ai:3"
                ],
                "defaultStatus": "unaffected",
                "packageName": "rhelai3/bootc-azure-cuda-rhel9",
                "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
                "vendor": "Red Hat"
              },
              {
                "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                "cpes": [
                  "cpe:/a:redhat:enterprise_linux_ai:3"
                ],
                "defaultStatus": "unaffected",
                "packageName": "rhelai3/bootc-azure-rocm-rhel9",
                "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
                "vendor": "Red Hat"
              },
              {
                "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                "cpes": [
                  "cpe:/a:redhat:enterprise_linux_ai:3"
                ],
                "defaultStatus": "unaffected",
                "packageName": "rhelai3/bootc-cuda-rhel9",
                "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
                "vendor": "Red Hat"
              },
              {
                "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                "cpes": [
                  "cpe:/a:redhat:enterprise_linux_ai:3"
                ],
                "defaultStatus": "unaffected",
                "packageName": "rhelai3/bootc-gcp-cuda-rhel9",
                "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
                "vendor": "Red Hat"
              },
              {
                "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                "cpes": [
                  "cpe:/a:redhat:enterprise_linux_ai:3"
                ],
                "defaultStatus": "unaffected",
                "packageName": "rhelai3/bootc-rocm-rhel9",
                "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
                "vendor": "Red Hat"
              },
              {
                "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                "cpes": [
                  "cpe:/a:redhat:openshift_ai"
                ],
                "defaultStatus": "unaffected",
                "packageName": "rhoai/odh-vllm-gaudi-rhel9",
                "product": "Red Hat OpenShift AI (RHOAI)",
                "vendor": "Red Hat"
              }
            ],
            "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"
          }
        ],
        "configurations": [
          {
            "nodes": [
              {
                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:a:lightningai:pytorch_lightning:2.6.2:*:*:*:*:python:*:*",
                    "matchCriteriaId": "033E2BB1-1BC0-4525-BF4F-36BD96BC6DDA",
                    "vulnerable": true
                  },
                  {
                    "criteria": "cpe:2.3:a:lightningai:pytorch_lightning:2.6.3:*:*:*:*:python:*:*",
                    "matchCriteriaId": "73EFF010-C81E-4B13-9B49-F682502AD1A1",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism."
          }
        ],
        "id": "CVE-2026-44484",
        "lastModified": "2026-07-15T02:21:54.583",
        "metrics": {
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "HIGH",
                "baseScore": 9.8,
                "baseSeverity": "CRITICAL",
                "confidentialityImpact": "HIGH",
                "integrityImpact": "HIGH",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
                "version": "3.1"
              },
              "exploitabilityScore": 3.9,
              "impactScore": 5.9,
              "source": "nvd@nist.gov",
              "type": "Primary"
            },
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "HIGH",
                "baseScore": 9.8,
                "baseSeverity": "CRITICAL",
                "confidentialityImpact": "HIGH",
                "integrityImpact": "HIGH",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
                "version": "3.1"
              },
              "exploitabilityScore": 3.9,
              "impactScore": 5.9,
              "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
              "type": "Secondary"
            }
          ],
          "cvssMetricV40": [
            {
              "cvssData": {
                "Automatable": "NOT_DEFINED",
                "Recovery": "NOT_DEFINED",
                "Safety": "NOT_DEFINED",
                "attackComplexity": "LOW",
                "attackRequirements": "NONE",
                "attackVector": "NETWORK",
                "availabilityRequirement": "NOT_DEFINED",
                "baseScore": 9.3,
                "baseSeverity": "CRITICAL",
                "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": "NONE",
                "providerUrgency": "NOT_DEFINED",
                "subAvailabilityImpact": "NONE",
                "subConfidentialityImpact": "NONE",
                "subIntegrityImpact": "NONE",
                "userInteraction": "NONE",
                "valueDensity": "NOT_DEFINED",
                "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/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": "HIGH",
                "vulnConfidentialityImpact": "HIGH",
                "vulnIntegrityImpact": "HIGH",
                "vulnerabilityResponseEffort": "NOT_DEFINED"
              },
              "source": "security-advisories@github.com",
              "type": "Secondary"
            }
          ],
          "ssvcV203": [
            {
              "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "ssvcData": {
                "id": "CVE-2026-44484",
                "options": [
                  {
                    "exploitation": "none"
                  },
                  {
                    "automatable": "yes"
                  },
                  {
                    "technicalImpact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-05-15T16:09:05.590623Z",
                "version": "2.0.3"
              }
            }
          ]
        },
        "published": "2026-05-14T15:16:48.933",
        "references": [
          {
            "source": "security-advisories@github.com",
            "tags": [
              "Mitigation",
              "Vendor Advisory"
            ],
            "url": "https://github.com/Lightning-AI/pytorch-lightning/security/advisories/GHSA-w37p-236h-pfx3"
          },
          {
            "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
            "url": "https://access.redhat.com/security/cve/CVE-2026-44484"
          },
          {
            "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
            "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477476"
          },
          {
            "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
            "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44484.json"
          }
        ],
        "sourceIdentifier": "security-advisories@github.com",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-506"
              }
            ],
            "source": "security-advisories@github.com",
            "type": "Secondary"
          },
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-829"
              }
            ],
            "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
            "type": "Secondary"
          }
        ]
      }
    },
    "redhat_vex": {
      "aggregate_severity": "Important",
      "current_release_date": "2026-06-30T03:44:44+00:00",
      "cve": "CVE-2026-44484",
      "id": "CVE-2026-44484",
      "initial_release_date": "2026-05-14T14:59:03.933000+00:00",
      "product_status:known_not_affected": "11",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "pytorch-lightning: PyTorch Lightning: Credential harvesting via introduced functionality",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44484.json",
      "version": "3"
    },
    "vulnrichment": {
      "containers": {
        "adp": [
          {
            "affected": [
              {
                "cpes": [
                  "cpe:/a:redhat:ai_inference_server:3"
                ],
                "defaultStatus": "unaffected",
                "product": "Red Hat AI Inference Server",
                "vendor": "Red Hat"
              },
              {
                "cpes": [
                  "cpe:/a:redhat:enterprise_linux_ai:3"
                ],
                "defaultStatus": "unaffected",
                "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
                "vendor": "Red Hat"
              },
              {
                "cpes": [
                  "cpe:/a:redhat:openshift_ai"
                ],
                "defaultStatus": "unaffected",
                "product": "Red Hat OpenShift AI (RHOAI)",
                "vendor": "Red Hat"
              }
            ],
            "datePublic": "2026-05-14T14:59:03.933Z",
            "descriptions": [
              {
                "lang": "en",
                "value": "A flaw was found in PyTorch Lightning. This deep learning framework introduced functionality that could be leveraged as a credential harvesting mechanism. A remote attacker could exploit this to obtain sensitive user credentials, leading to significant information disclosure and potential further system compromise."
              }
            ],
            "metrics": [
              {
                "other": {
                  "content": {
                    "namespace": "https://access.redhat.com/security/updates/classification/",
                    "value": "Important"
                  },
                  "type": "Red Hat severity rating"
                }
              },
              {
                "cvssV3_1": {
                  "attackComplexity": "LOW",
                  "attackVector": "NETWORK",
                  "availabilityImpact": "HIGH",
                  "baseScore": 9.8,
                  "baseSeverity": "CRITICAL",
                  "confidentialityImpact": "HIGH",
                  "integrityImpact": "HIGH",
                  "privilegesRequired": "NONE",
                  "scope": "UNCHANGED",
                  "userInteraction": "NONE",
                  "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
                  "version": "3.1"
                },
                "format": "CVSS"
              }
            ],
            "problemTypes": [
              {
                "descriptions": [
                  {
                    "cweId": "CWE-829",
                    "description": "Inclusion of Functionality from Untrusted Control Sphere",
                    "lang": "en",
                    "type": "CWE"
                  }
                ]
              }
            ],
            "providerMetadata": {
              "dateUpdated": "2026-06-30T03:19:01.399Z",
              "orgId": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
              "shortName": "redhat-SADP"
            },
            "references": [
              {
                "tags": [
                  "vdb-entry",
                  "x_refsource_REDHAT"
                ],
                "url": "https://access.redhat.com/security/cve/CVE-2026-44484"
              },
              {
                "name": "RHBZ#2477476",
                "tags": [
                  "issue-tracking",
                  "x_refsource_REDHAT"
                ],
                "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477476"
              },
              {
                "tags": [
                  "x_sadp-csaf-vex"
                ],
                "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44484.json"
              }
            ],
            "timeline": [
              {
                "lang": "en",
                "time": "2026-05-14T16:02:06.154Z",
                "value": "Reported to Red Hat."
              },
              {
                "lang": "en",
                "time": "2026-05-14T14:59:03.933Z",
                "value": "Made public."
              }
            ],
            "title": "pytorch-lightning: PyTorch Lightning: Credential harvesting via introduced functionality",
            "x_adpType": "supplier",
            "x_generator": {
              "engine": "sadp-cli 1.0.0"
            }
          },
          {
            "metrics": [
              {
                "other": {
                  "content": {
                    "id": "CVE-2026-44484",
                    "options": [
                      {
                        "Exploitation": "none"
                      },
                      {
                        "Automatable": "yes"
                      },
                      {
                        "Technical Impact": "total"
                      }
                    ],
                    "role": "CISA Coordinator",
                    "timestamp": "2026-05-15T16:09:05.590623Z",
                    "version": "2.0.3"
                  },
                  "type": "ssvc"
                }
              }
            ],
            "providerMetadata": {
              "dateUpdated": "2026-05-15T16:09:14.693Z",
              "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "shortName": "CISA-ADP"
            },
            "title": "CISA ADP Vulnrichment"
          }
        ],
        "cna": {
          "affected": [
            {
              "product": "pytorch-lightning",
              "vendor": "Lightning-AI",
              "versions": [
                {
                  "status": "affected",
                  "version": "2.6.2"
                },
                {
                  "status": "affected",
                  "version": "2.6.3"
                }
              ]
            }
          ],
          "descriptions": [
            {
              "lang": "en",
              "value": "PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism."
            }
          ],
          "metrics": [
            {
              "cvssV4_0": {
                "attackComplexity": "LOW",
                "attackRequirements": "NONE",
                "attackVector": "NETWORK",
                "baseScore": 9.3,
                "baseSeverity": "CRITICAL",
                "privilegesRequired": "NONE",
                "subAvailabilityImpact": "NONE",
                "subConfidentialityImpact": "NONE",
                "subIntegrityImpact": "NONE",
                "userInteraction": "NONE",
                "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
                "version": "4.0",
                "vulnAvailabilityImpact": "HIGH",
                "vulnConfidentialityImpact": "HIGH",
                "vulnIntegrityImpact": "HIGH"
              }
            }
          ],
          "problemTypes": [
            {
              "descriptions": [
                {
                  "cweId": "CWE-506",
                  "description": "CWE-506: Embedded Malicious Code",
                  "lang": "en",
                  "type": "CWE"
                }
              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2026-05-14T14:59:03.933Z",
            "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
            "shortName": "GitHub_M"
          },
          "references": [
            {
              "name": "https://github.com/Lightning-AI/pytorch-lightning/security/advisories/GHSA-w37p-236h-pfx3",
              "tags": [
                "x_refsource_CONFIRM"
              ],
              "url": "https://github.com/Lightning-AI/pytorch-lightning/security/advisories/GHSA-w37p-236h-pfx3"
            }
          ],
          "source": {
            "advisory": "GHSA-w37p-236h-pfx3",
            "discovery": "UNKNOWN"
          },
          "title": "Compromise of PyTorch Lightning PyPi Package Versions"
        }
      },
      "cveMetadata": {
        "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "assignerShortName": "GitHub_M",
        "cveId": "CVE-2026-44484",
        "datePublished": "2026-05-14T14:59:03.933Z",
        "dateReserved": "2026-05-06T17:18:51.783Z",
        "dateUpdated": "2026-06-30T03:19:01.399Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}

FKIE_CVE-2026-44484

Vulnerability from fkie_nvd - Published: 2026-05-14 15:16 - Updated: 2026-07-15 02:21

Severity

9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Summary

PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism.

References

URL	Tags
security-advisories@github.com	https://github.com/Lightning-AI/pytorch-lightning/security/advisories/GHSA-w37p-236h-pfx3	Mitigation, Vendor Advisory
0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://access.redhat.com/security/cve/CVE-2026-44484
0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://bugzilla.redhat.com/show_bug.cgi?id=2477476
0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44484.json

Impacted products

	Vendor	Product	Version
	lightningai	pytorch_lightning	2.6.2
	lightningai	pytorch_lightning	2.6.3

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "pytorch-lightning",
          "vendor": "Lightning-AI",
          "versions": [
            {
              "status": "affected",
              "version": "2.6.2"
            },
            {
              "status": "affected",
              "version": "2.6.3"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    },
    {
      "affectedData": [
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:ai_inference_server:3"
          ],
          "defaultStatus": "unaffected",
          "packageName": "rhaiis/vllm-cpu-rhel9",
          "product": "Red Hat AI Inference Server",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:ai_inference_server:3"
          ],
          "defaultStatus": "unaffected",
          "packageName": "rhaiis/vllm-cuda-rhel9",
          "product": "Red Hat AI Inference Server",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:ai_inference_server:3"
          ],
          "defaultStatus": "unaffected",
          "packageName": "rhaiis/vllm-rocm-rhel9",
          "product": "Red Hat AI Inference Server",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:ai_inference_server:3"
          ],
          "defaultStatus": "unaffected",
          "packageName": "rhaiis/vllm-tpu-rhel9",
          "product": "Red Hat AI Inference Server",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:enterprise_linux_ai:3"
          ],
          "defaultStatus": "unaffected",
          "packageName": "rhelai3/bootc-aws-cuda-rhel9",
          "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:enterprise_linux_ai:3"
          ],
          "defaultStatus": "unaffected",
          "packageName": "rhelai3/bootc-azure-cuda-rhel9",
          "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:enterprise_linux_ai:3"
          ],
          "defaultStatus": "unaffected",
          "packageName": "rhelai3/bootc-azure-rocm-rhel9",
          "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:enterprise_linux_ai:3"
          ],
          "defaultStatus": "unaffected",
          "packageName": "rhelai3/bootc-cuda-rhel9",
          "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:enterprise_linux_ai:3"
          ],
          "defaultStatus": "unaffected",
          "packageName": "rhelai3/bootc-gcp-cuda-rhel9",
          "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:enterprise_linux_ai:3"
          ],
          "defaultStatus": "unaffected",
          "packageName": "rhelai3/bootc-rocm-rhel9",
          "product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai"
          ],
          "defaultStatus": "unaffected",
          "packageName": "rhoai/odh-vllm-gaudi-rhel9",
          "product": "Red Hat OpenShift AI (RHOAI)",
          "vendor": "Red Hat"
        }
      ],
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:lightningai:pytorch_lightning:2.6.2:*:*:*:*:python:*:*",
              "matchCriteriaId": "033E2BB1-1BC0-4525-BF4F-36BD96BC6DDA",
              "vulnerable": true
            },
            {
              "criteria": "cpe:2.3:a:lightningai:pytorch_lightning:2.6.3:*:*:*:*:python:*:*",
              "matchCriteriaId": "73EFF010-C81E-4B13-9B49-F682502AD1A1",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism."
    }
  ],
  "id": "CVE-2026-44484",
  "lastModified": "2026-07-15T02:21:54.583",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.8,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.8,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.9,
        "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
        "type": "Secondary"
      }
    ],
    "cvssMetricV40": [
      {
        "cvssData": {
          "Automatable": "NOT_DEFINED",
          "Recovery": "NOT_DEFINED",
          "Safety": "NOT_DEFINED",
          "attackComplexity": "LOW",
          "attackRequirements": "NONE",
          "attackVector": "NETWORK",
          "availabilityRequirement": "NOT_DEFINED",
          "baseScore": 9.3,
          "baseSeverity": "CRITICAL",
          "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": "NONE",
          "providerUrgency": "NOT_DEFINED",
          "subAvailabilityImpact": "NONE",
          "subConfidentialityImpact": "NONE",
          "subIntegrityImpact": "NONE",
          "userInteraction": "NONE",
          "valueDensity": "NOT_DEFINED",
          "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/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": "HIGH",
          "vulnConfidentialityImpact": "HIGH",
          "vulnIntegrityImpact": "HIGH",
          "vulnerabilityResponseEffort": "NOT_DEFINED"
        },
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-44484",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-05-15T16:09:05.590623Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-05-14T15:16:48.933",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Mitigation",
        "Vendor Advisory"
      ],
      "url": "https://github.com/Lightning-AI/pytorch-lightning/security/advisories/GHSA-w37p-236h-pfx3"
    },
    {
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
      "url": "https://access.redhat.com/security/cve/CVE-2026-44484"
    },
    {
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477476"
    },
    {
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44484.json"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-506"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-829"
        }
      ],
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
      "type": "Secondary"
    }
  ]
}

GHSA-W37P-236H-PFX3

Vulnerability from github – Published: 2026-05-07 00:52 – Updated: 2026-06-08 23:12

Summary

Compromise of PyTorch Lightning PyPi Package Versions

Details

Security Advisory: Compromise of PyTorch Lightning PyPI Package Versions

Published: 2026-04-30
Last Updated: 2026-05-12

Github Advisory: CVE-2026-44484

We have identified a security incident affecting certain versions of one of our PyPI packages.

What happened

We have determined that one or more released versions of this package have been compromised and include malicious code.

Our current investigation indicates that the affected versions have introduced functionality consistent with a credential harvesting mechanism. We are still actively analysing the scope and behaviour of the code.

At this stage, the root cause of the compromise is still under investigation.

What versions are affected

We are currently working to confirm the exact set of impacted versions.

We have determined the following versions as affected and ask that you delete them from your systems:

2.6.2
2.6.3

We will update this advisory if the versions impacted by this vulnerability change.

What you should do immediately

If you have installed or are running any potentially affected versions:

Assume the environment may be compromised
Immediately rotate all credentials and secrets that may have been exposed, including:
API keys
Access tokens
SSH keys
Service account credentials
Rebuild affected systems from a known clean state
Pin PyTorch Lightning to version 2.6.1
Review logs for any suspicious or unauthorised activity

Actions we have taken

Quarantined malicious versions from PyPI
Recommend using version 2.6.1: https://github.com/Lightning-AI/pytorch-lightning/releases/tag/2.6.1
Revoked and rotated all internal credentials associated with our release process
Initiated a full investigation into the compromise

Ongoing investigation

We are actively working to:

Identify the exact mechanism of compromise
Confirm the full set of affected versions
Determine the behaviour and impact of the malicious code
Assess any downstream impact to users

We will provide updates as soon as more information becomes available.

Commitment to transparency

We take the security of our users and the integrity of our software supply chain extremely seriously.

We will continue to share timely and accurate updates as our investigation progresses.

Contact

If you have questions or believe you may be impacted, please contact us at:

security@lightning.ai

Severity

9.8 (Critical)


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

9.3 (Critical)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pytorch-lightning"
      },
      "versions": [
        "2.6.2"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pytorch-lightning"
      },
      "versions": [
        "2.6.3"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-44484"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-506"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-05-07T00:52:55Z",
    "nvd_published_at": "2026-05-14T15:16:48Z",
    "severity": "CRITICAL"
  },
  "details": "# Security Advisory: Compromise of PyTorch Lightning PyPI Package Versions\n\n**Published:** 2026-04-30  \n**Last Updated:** 2026-05-12 \n\n**Github Advisory:** [CVE-2026-44484](https://github.com/advisories/GHSA-w37p-236h-pfx3)\n\nWe have identified a security incident affecting certain versions of one of our PyPI packages.\n\n## What happened\n\nWe have determined that one or more released versions of this package have been compromised and include malicious code.\n\nOur current investigation indicates that the affected versions have introduced functionality consistent with a credential harvesting mechanism. We are still actively analysing the scope and behaviour of the code.\n\nAt this stage, the root cause of the compromise is still under investigation.\n\n## What versions are affected\n\nWe are currently working to confirm the exact set of impacted versions.\n\nWe have determined the following versions as affected and ask that you delete them from your systems:\n\n- `2.6.2`\n- `2.6.3`\n\nWe will update this advisory if the versions impacted by this vulnerability change.\n\n## What you should do immediately\n\nIf you have installed or are running any potentially affected versions:\n\n- Assume the environment may be compromised  \n- Immediately rotate all credentials and secrets that may have been exposed, including:  \n  - API keys  \n  - Access tokens  \n  - SSH keys  \n  - Service account credentials  \n- Rebuild affected systems from a known clean state  \n- Pin PyTorch Lightning to version `2.6.1`  \n- Review logs for any suspicious or unauthorised activity  \n\n## Actions we have taken\n\n- Quarantined malicious versions from PyPI  \n- Recommend using version `2.6.1`: https://github.com/Lightning-AI/pytorch-lightning/releases/tag/2.6.1  \n- Revoked and rotated all internal credentials associated with our release process  \n- Initiated a full investigation into the compromise  \n\n## Ongoing investigation\n\nWe are actively working to:\n\n- Identify the exact mechanism of compromise  \n- Confirm the full set of affected versions  \n- Determine the behaviour and impact of the malicious code  \n- Assess any downstream impact to users  \n\nWe will provide updates as soon as more information becomes available.\n\n## Commitment to transparency\n\nWe take the security of our users and the integrity of our software supply chain extremely seriously.\n\nWe will continue to share timely and accurate updates as our investigation progresses.\n\n## Contact\n\nIf you have questions or believe you may be impacted, please contact us at:\n\n**security@lightning.ai**",
  "id": "GHSA-w37p-236h-pfx3",
  "modified": "2026-06-08T23:12:39Z",
  "published": "2026-05-07T00:52:55Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/Lightning-AI/pytorch-lightning/security/advisories/GHSA-w37p-236h-pfx3"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-44484"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Lightning-AI/pytorch-lightning"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Compromise of PyTorch Lightning PyPi Package Versions"
}

PYSEC-2026-3973

Vulnerability from pysec - Published: 2026-09-10 16:42 - Updated: 2026-09-10 16:42

Details

Security Advisory: Compromise of PyTorch Lightning PyPI Package Versions

Published: 2026-04-30
Last Updated: 2026-05-12

Github Advisory: CVE-2026-44484

We have identified a security incident affecting certain versions of one of our PyPI packages.

## What happened

We have determined that one or more released versions of this package have been compromised and include malicious code.

At this stage, the root cause of the compromise is still under investigation.

What versions are affected

We are currently working to confirm the exact set of impacted versions.

We have determined the following versions as affected and ask that you delete them from your systems:

2.6.2
2.6.3

We will update this advisory if the versions impacted by this vulnerability change.

What you should do immediately

If you have installed or are running any potentially affected versions:

Assume the environment may be compromised
Immediately rotate all credentials and secrets that may have been exposed, including:
API keys
Access tokens
SSH keys
Service account credentials
Rebuild affected systems from a known clean state
Pin PyTorch Lightning to version 2.6.1
Review logs for any suspicious or unauthorised activity

Actions we have taken

Quarantined malicious versions from PyPI
Recommend using version 2.6.1: https://github.com/Lightning-AI/pytorch-lightning/releases/tag/2.6.1
Revoked and rotated all internal credentials associated with our release process
Initiated a full investigation into the compromise

Ongoing investigation

We are actively working to:

Identify the exact mechanism of compromise
Confirm the full set of affected versions
Determine the behaviour and impact of the malicious code
Assess any downstream impact to users

We will provide updates as soon as more information becomes available.

Commitment to transparency

We take the security of our users and the integrity of our software supply chain extremely seriously.

We will continue to share timely and accurate updates as our investigation progresses.

Contact

If you have questions or believe you may be impacted, please contact us at:

security@lightning.ai

Severity

9.8 (Critical)


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

9.3 (Critical)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Impacted products

Name	purl
lightning	pkg:pypi/lightning

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "lightning",
        "purl": "pkg:pypi/lightning"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.2"
            },
            {
              "fixed": "2.6.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.6.2",
        "2.6.3"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-44484",
    "GHSA-w37p-236h-pfx3"
  ],
  "details": "# Security Advisory: Compromise of PyTorch Lightning PyPI Package Versions\n \n**Published:** 2026-04-30  \n**Last Updated:** 2026-05-12 \n\n**Github Advisory:** [CVE-2026-44484](https://github.com/advisories/GHSA-w37p-236h-pfx3)\n\nWe have identified a security incident affecting certain versions of one of our PyPI packages.\n\n ## What happened\n\nWe have determined that one or more released versions of this package have been compromised and include malicious code.\n\nOur current investigation indicates that the affected versions have introduced functionality consistent with a credential harvesting mechanism. We are still actively analysing the scope and behaviour of the code.\n\nAt this stage, the root cause of the compromise is still under investigation.\n\n## What versions are affected\n\nWe are currently working to confirm the exact set of impacted versions.\n\nWe have determined the following versions as affected and ask that you delete them from your systems:\n\n- `2.6.2`\n - `2.6.3`\n\nWe will update this advisory if the versions impacted by this vulnerability change.\n\n## What you should do immediately\n\nIf you have installed or are running any potentially affected versions:\n\n- Assume the environment may be compromised  \n- Immediately rotate all credentials and secrets that may have been exposed, including:  \n  - API keys  \n  - Access tokens  \n  - SSH keys  \n  - Service account credentials  \n- Rebuild affected systems from a known clean state  \n- Pin PyTorch Lightning to version `2.6.1`  \n- Review logs for any suspicious or unauthorised activity  \n\n## Actions we have taken\n\n- Quarantined malicious versions from PyPI  \n- Recommend using version `2.6.1`: https://github.com/Lightning-AI/pytorch-lightning/releases/tag/2.6.1  \n- Revoked and rotated all internal credentials associated with our release process  \n- Initiated a full investigation into the compromise  \n\n## Ongoing investigation\n\nWe are actively working to:\n\n- Identify the exact mechanism of compromise  \n- Confirm the full set of affected versions  \n- Determine the behaviour and impact of the malicious code  \n- Assess any downstream impact to users  \n\n We will provide updates as soon as more information becomes available.\n\n## Commitment to transparency\n\nWe take the security of our users and the integrity of our software supply chain extremely seriously.\n\nWe will continue to share timely and accurate updates as our investigation progresses.\n\n## Contact\n\nIf you have questions or believe you may be impacted, please contact us at:\n\n**security@lightning.ai**",
  "id": "PYSEC-2026-3973",
  "modified": "2026-09-10T16:42:38.534688Z",
  "published": "2026-09-10T16:42:38.534688Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/Lightning-AI/pytorch-lightning/security/advisories/GHSA-w37p-236h-pfx3"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-44484"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Lightning-AI/pytorch-lightning"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/pytorch-lightning"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-w37p-236h-pfx3"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Compromise of PyTorch Lightning PyPi Package Versions"
}

PYSEC-2026-508

Vulnerability from pysec - Published: 2026-06-29 11:50 - Updated: 2026-07-02 12:33

Details

Security Advisory: Compromise of PyTorch Lightning PyPI Package Versions

Published: 2026-04-30
Last Updated: 2026-05-12

Github Advisory: CVE-2026-44484

We have identified a security incident affecting certain versions of one of our PyPI packages.

## What happened

We have determined that one or more released versions of this package have been compromised and include malicious code.

At this stage, the root cause of the compromise is still under investigation.

What versions are affected

We are currently working to confirm the exact set of impacted versions.

We have determined the following versions as affected and ask that you delete them from your systems:

2.6.2
2.6.3

We will update this advisory if the versions impacted by this vulnerability change.

What you should do immediately

If you have installed or are running any potentially affected versions:

Assume the environment may be compromised
Immediately rotate all credentials and secrets that may have been exposed, including:
API keys
Access tokens
SSH keys
Service account credentials
Rebuild affected systems from a known clean state
Pin PyTorch Lightning to version 2.6.1
Review logs for any suspicious or unauthorised activity

Actions we have taken

Quarantined malicious versions from PyPI
Recommend using version 2.6.1: https://github.com/Lightning-AI/pytorch-lightning/releases/tag/2.6.1
Revoked and rotated all internal credentials associated with our release process
Initiated a full investigation into the compromise

Ongoing investigation

We are actively working to:

Identify the exact mechanism of compromise
Confirm the full set of affected versions
Determine the behaviour and impact of the malicious code
Assess any downstream impact to users

We will provide updates as soon as more information becomes available.

Commitment to transparency

We take the security of our users and the integrity of our software supply chain extremely seriously.

We will continue to share timely and accurate updates as our investigation progresses.

Contact

If you have questions or believe you may be impacted, please contact us at:

security@lightning.ai

Severity

9.8 (Critical)


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

9.3 (Critical)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Impacted products

Name	purl
pytorch-lightning	pkg:pypi/pytorch-lightning

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pytorch-lightning",
        "purl": "pkg:pypi/pytorch-lightning"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.2"
            },
            {
              "fixed": "2.6.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.6.2",
        "2.6.3"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-44484",
    "GHSA-w37p-236h-pfx3"
  ],
  "details": "# Security Advisory: Compromise of PyTorch Lightning PyPI Package Versions\n \n**Published:** 2026-04-30  \n**Last Updated:** 2026-05-12 \n\n**Github Advisory:** [CVE-2026-44484](https://github.com/advisories/GHSA-w37p-236h-pfx3)\n\nWe have identified a security incident affecting certain versions of one of our PyPI packages.\n\n ## What happened\n\nWe have determined that one or more released versions of this package have been compromised and include malicious code.\n\nOur current investigation indicates that the affected versions have introduced functionality consistent with a credential harvesting mechanism. We are still actively analysing the scope and behaviour of the code.\n\nAt this stage, the root cause of the compromise is still under investigation.\n\n## What versions are affected\n\nWe are currently working to confirm the exact set of impacted versions.\n\nWe have determined the following versions as affected and ask that you delete them from your systems:\n\n- `2.6.2`\n - `2.6.3`\n\nWe will update this advisory if the versions impacted by this vulnerability change.\n\n## What you should do immediately\n\nIf you have installed or are running any potentially affected versions:\n\n- Assume the environment may be compromised  \n- Immediately rotate all credentials and secrets that may have been exposed, including:  \n  - API keys  \n  - Access tokens  \n  - SSH keys  \n  - Service account credentials  \n- Rebuild affected systems from a known clean state  \n- Pin PyTorch Lightning to version `2.6.1`  \n- Review logs for any suspicious or unauthorised activity  \n\n## Actions we have taken\n\n- Quarantined malicious versions from PyPI  \n- Recommend using version `2.6.1`: https://github.com/Lightning-AI/pytorch-lightning/releases/tag/2.6.1  \n- Revoked and rotated all internal credentials associated with our release process  \n- Initiated a full investigation into the compromise  \n\n## Ongoing investigation\n\nWe are actively working to:\n\n- Identify the exact mechanism of compromise  \n- Confirm the full set of affected versions  \n- Determine the behaviour and impact of the malicious code  \n- Assess any downstream impact to users  \n\n We will provide updates as soon as more information becomes available.\n\n## Commitment to transparency\n\nWe take the security of our users and the integrity of our software supply chain extremely seriously.\n\nWe will continue to share timely and accurate updates as our investigation progresses.\n\n## Contact\n\nIf you have questions or believe you may be impacted, please contact us at:\n\n**security@lightning.ai**",
  "id": "PYSEC-2026-508",
  "modified": "2026-07-02T12:33:00Z",
  "published": "2026-06-29T11:50:50.913630Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/Lightning-AI/pytorch-lightning/security/advisories/GHSA-w37p-236h-pfx3"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-44484"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Lightning-AI/pytorch-lightning"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/pytorch-lightning"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-w37p-236h-pfx3"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Compromise of PyTorch Lightning PyPi Package Versions"
}

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

Order JSON

Publication & reservation Sightings KEV catalogs Other timestamps

Loading timeline…

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.

Action not permitted

CVE-2026-44484 (GCVE-0-2026-44484)

FKIE_CVE-2026-44484

GHSA-W37P-236H-PFX3

Security Advisory: Compromise of PyTorch Lightning PyPI Package Versions

What happened

What versions are affected

What you should do immediately

Actions we have taken

Ongoing investigation

Commitment to transparency

Contact

PYSEC-2026-3973

Security Advisory: Compromise of PyTorch Lightning PyPI Package Versions

What versions are affected

What you should do immediately

Actions we have taken

Ongoing investigation

Commitment to transparency

Contact

PYSEC-2026-508

Security Advisory: Compromise of PyTorch Lightning PyPI Package Versions

What versions are affected

What you should do immediately

Actions we have taken

Ongoing investigation

Commitment to transparency

Contact

Tags

Sightings

Nomenclature

Vulnerability timeline

Related by attack behaviour