CVE-2026-44484 (GCVE-0-2026-44484)
Vulnerability from cvelistv5 – Published: 2026-05-14 14:59 – Updated: 2026-07-15 00:53
VLAI
EPSS
VEX
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
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-15 16:09 UTC
CWE
Assigner
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
|
{
"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": "2026-09-24",
"epss": "0.00671",
"percentile": "0.49869"
},
"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"
}
}
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
Loading…
Loading…
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.
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.
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.
Loading…