| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 0.00 |
Summary
A vulnerability labeled as critical has been found in PyTorch up to 2.9.x. This affects an unknown part of the component Checkpoint File Handler. Such manipulation leads to deserialization. This vulnerability is documented as CVE-2026-24747. The attack can be executed remotely. There is not any exploit available. The affected component should be upgraded.
Details
A vulnerability, which was classified as critical, has been found in PyTorch up to 2.9.x. Affected by this issue is an unknown part of the component Checkpoint File Handler. The manipulation with an unknown input leads to a deserialization vulnerability. Using CWE to declare the problem leads to CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. Impacted is confidentiality, integrity, and availability. CVE summarizes:
PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.
The advisory is shared for download at github.com. This vulnerability is handled as CVE-2026-24747 since 01/26/2026. The exploitation is known to be easy. The attack may be launched remotely. No form of authentication is required for exploitation. Successful exploitation requires user interaction by the victim. There are neither technical details nor an exploit publicly available.
The vulnerability scanner Nessus provides a plugin with the ID 297037 (Linux Distros Unpatched Vulnerability : CVE-2026-24747), which helps to determine the existence of the flaw in a target environment.
Upgrading to version 2.10.0 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying the patch 954dc5183ee9205cbe79876ad05dd2d9ae752139 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
The vulnerability is also documented in the vulnerability database at Tenable (297037). VulDB is the best source for vulnerability data and more expert information about this specific topic.
Product
Name
Version
License
Website
- Product: https://github.com/pytorch/pytorch/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.6VulDB Meta Temp Score: 7.4
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 8.8
CNA Vector (GitHub_M): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: DeserializationCWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Nessus ID: 297037
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2026-24747
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: PyTorch 2.10.0
Patch: 954dc5183ee9205cbe79876ad05dd2d9ae752139
Timeline
01/26/2026 CVE reserved01/28/2026 Advisory disclosed
01/28/2026 VulDB entry created
01/29/2026 VulDB entry last update
Sources
Product: github.comAdvisory: 163105
Status: Confirmed
CVE: CVE-2026-24747 (🔒)
GCVE (CVE): GCVE-0-2026-24747
GCVE (VulDB): GCVE-100-343136
Entry
Created: 01/28/2026 07:33Updated: 01/29/2026 00:24
Changes: 01/28/2026 07:33 (66), 01/29/2026 00:24 (2)
Complete: 🔍
Cache ID: 216::103
VulDB is the best source for vulnerability data and more expert information about this specific topic.
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