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Pytorch CVE-2026-4538

| EUVD-2026-14280 LOW
Deserialization of Untrusted Data (CWE-502)
2026-03-22 VulDB GHSA-33x2-ppm4-v46v
1.9
CVSS 4.0 · NVD

Severity by source

NVD PRIMARY
1.9 LOW
CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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
Red Hat
5.3 MEDIUM
qualitative

Primary rating from NVD.

CVSS VectorNVD

CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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
Attack Vector
Local
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
X

Lifecycle Timeline

6
Severity Changed
Apr 29, 2026 - 01:11 NVD
MEDIUM LOW
CVSS changed
Apr 29, 2026 - 01:11 NVD
5.3 (MEDIUM) 1.9 (LOW)
PoC Detected
Mar 23, 2026 - 14:31 vuln.today
Public exploit code
EUVD ID Assigned
Mar 22, 2026 - 04:30 euvd
EUVD-2026-14280
Analysis Generated
Mar 22, 2026 - 04:30 vuln.today
CVE Published
Mar 22, 2026 - 04:20 nvd
MEDIUM 5.3

Blast Radius

ecosystem impact
† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth
  • 207 pypi packages depend on torch (128 direct, 79 indirect)

Ecosystem-wide dependent count for version 2.10.0.

DescriptionCVE.org

A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be performed from a local environment. The exploit is publicly available and might be used. The project was informed of the problem early through a pull request but has not reacted yet.

AnalysisAI

A deserialization vulnerability exists in PyTorch 2.10.0 within the pt2 Loading Handler component, allowing local attackers with low privileges to achieve confidentiality, integrity, and availability impacts through untrusted data processing. The vulnerability (CWE-502) is confirmed to have a publicly available exploit and has been reported to the project via pull request PR#176791, though remediation status remains unclear. …

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Vulnerability AssessmentAI

Risk Assessment Real-world risk is moderate, tempered by significant attack constraints. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario An attacker with local system access (or a malicious development team member) crafts a specially-formatted PyTorch checkpoint or model file containing gadget chains that execute arbitrary code during deserialization. When a researcher or CI/CD pipeline executes torch.load() or a similar checkpoint restoration function on this file, the unsafe deserialization triggers code execution with the privileges of the PyTorch process, allowing the attacker to exfiltrate training data, inject backdoors into models, or pivot to other systems. …
Remediation Immediately check the PyTorch GitHub repository (https://github.com/pytorch/pytorch/) and pull request PR#176791 (https://github.com/pytorch/pytorch/pull/176791) for available patches; upgrade to the patched version once released and thoroughly tested in your environment. … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 30 days: Identify affected systems and apply vendor patches as part of regular patch cycle. …

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CVE-2026-4538 vulnerability details – vuln.today

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