CVE-2025-32434

PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0.

CVSS v3 9.8 CRITICAL

9.8^/10

CVSS v3 : CRITICAL

Vector :

Exploitability : 3.9 / Impact : 5.9

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required NONE

User Interaction NONE

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6	Vendor Advisory

Configurations

Configuration 1 (hide)

cpe:2.3:a:linuxfoundation:pytorch:*:*:*:*:*:python:*:*

History

28 May 2025, 13:14

Type	Values Removed	Values Added
First Time		Linuxfoundation pytorch Linuxfoundation
References	~~() https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6 -~~	() https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6 - Vendor Advisory
CVSS	v2 : ~~unknown~~ v3 : ~~unknown~~	v2 : unknown v3 : 9.8
Summary		(es) PyTorch es un paquete de Python que proporciona computación tensorial con una potente aceleración de GPU y redes neuronales profundas basadas en un sistema de autogradación basado en cinta. En la versión 2.5.1 y anteriores, existía una vulnerabilidad de ejecución remota de comandos (RCE) en PyTorch al cargar un modelo usando torch.load con weights_only=True. Este problema se ha corregido en la versión 2.6.0.
CPE		cpe:2.3:a:linuxfoundation:pytorch::::::python::*

18 Apr 2025, 16:15

Type	Values Removed	Values Added
New CVE

Information

Published : 2025-04-18 16:15

Updated : 2025-05-28 13:14

NVD link : CVE-2025-32434

Mitre link : CVE-2025-32434

CVE.ORG link : CVE-2025-32434

JSON object : View

Products Affected

linuxfoundation

pytorch

CWE

CWE-502

Deserialization of Untrusted Data

{"id": "CVE-2025-32434", "cveTags": [], "metrics": {"cvssMetricV31": [{"type": "Primary", "source": "nvd@nist.gov", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 9.8, "attackVector": "NETWORK", "baseSeverity": "CRITICAL", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "impactScore": 5.9, "exploitabilityScore": 3.9}], "cvssMetricV40": [{"type": "Secondary", "source": "security-advisories@github.com", "cvssData": {"Safety": "NOT_DEFINED", "version": "4.0", "Recovery": "NOT_DEFINED", "baseScore": 9.3, "Automatable": "NOT_DEFINED", "attackVector": "NETWORK", "baseSeverity": "CRITICAL", "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", "exploitMaturity": "NOT_DEFINED", "providerUrgency": "NOT_DEFINED", "userInteraction": "NONE", "attackComplexity": "LOW", "attackRequirements": "NONE", "privilegesRequired": "NONE", "subIntegrityImpact": "NONE", "vulnIntegrityImpact": "HIGH", "integrityRequirement": "NOT_DEFINED", "modifiedAttackVector": "NOT_DEFINED", "subAvailabilityImpact": "NONE", "vulnAvailabilityImpact": "HIGH", "availabilityRequirement": "NOT_DEFINED", "modifiedUserInteraction": "NOT_DEFINED", "modifiedAttackComplexity": "NOT_DEFINED", "subConfidentialityImpact": "NONE", "vulnConfidentialityImpact": "HIGH", "confidentialityRequirement": "NOT_DEFINED", "modifiedAttackRequirements": "NOT_DEFINED", "modifiedPrivilegesRequired": "NOT_DEFINED", "modifiedSubIntegrityImpact": "NOT_DEFINED", "modifiedVulnIntegrityImpact": "NOT_DEFINED", "vulnerabilityResponseEffort": "NOT_DEFINED", "modifiedSubAvailabilityImpact": "NOT_DEFINED", "modifiedVulnAvailabilityImpact": "NOT_DEFINED", "modifiedSubConfidentialityImpact": "NOT_DEFINED", "modifiedVulnConfidentialityImpact": "NOT_DEFINED"}}]}, "published": "2025-04-18T16:15:23.183", "references": [{"url": "https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6", "tags": ["Vendor Advisory"], "source": "security-advisories@github.com"}], "vulnStatus": "Analyzed", "weaknesses": [{"type": "Primary", "source": "security-advisories@github.com", "description": [{"lang": "en", "value": "CWE-502"}]}], "descriptions": [{"lang": "en", "value": "PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0."}, {"lang": "es", "value": "PyTorch es un paquete de Python que proporciona computaci\u00f3n tensorial con una potente aceleraci\u00f3n de GPU y redes neuronales profundas basadas en un sistema de autogradaci\u00f3n basado en cinta. En la versi\u00f3n 2.5.1 y anteriores, exist\u00eda una vulnerabilidad de ejecuci\u00f3n remota de comandos (RCE) en PyTorch al cargar un modelo usando torch.load con weights_only=True. Este problema se ha corregido en la versi\u00f3n 2.6.0."}], "lastModified": "2025-05-28T13:14:20.750", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:linuxfoundation:pytorch:*:*:*:*:*:python:*:*", "vulnerable": true, "matchCriteriaId": "F694B541-FC4E-4A7D-8A1A-0DA11BEC83CD", "versionEndExcluding": "2.6.0"}], "operator": "OR"}]}], "sourceIdentifier": "security-advisories@github.com"}