CVE-2026-15679
Received Received - Intake

Remote Code Execution in PyTorch Image Models

Publication date: 2026-08-20

Last updated on: 2026-08-20

Assigner: Zero Day Initiative

Description
Hugging Face PyTorch Image Models checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face PyTorch Image Models. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of checkpoints. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-27987.

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Meta Information

Published
2026-08-20
Last Modified
2026-08-20
Generated
2026-08-20
AI Q&A
2026-08-20
EPSS Evaluated
N/A
NVD
CVE-2026-15679
EUVD
EUVD-2026-63459

Affected Vendors & Products

Showing 2 associated CPEs
Vendor Product Version / Range
hugging_face pytorch_image_models *
hugging_face pytorch_image_models 1.0.26

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-502 The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

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Executive Summary

This vulnerability in Hugging Face PyTorch Image Models allows remote attackers to execute arbitrary code by exploiting improper validation during checkpoint parsing. Exploitation requires user interaction, such as visiting a malicious page or opening a malicious file.

Detection Guidance

Detecting this vulnerability requires checking for vulnerable versions of Hugging Face PyTorch Image Models. Use package managers like pip to list installed versions: pip show torch torchvision. Compare the installed version against the fixed version 1.0.26. Additionally, monitor for unusual network activity or unexpected processes that may indicate exploitation.

Impact Analysis

An attacker could gain control of your system by tricking you into opening a malicious file or visiting a harmful page. This could lead to data theft, system compromise, or further network infiltration.

Compliance Impact

This vulnerability could lead to unauthorized access to sensitive data, potentially violating GDPR and HIPAA requirements for data protection and confidentiality.

Mitigation Strategies

Immediately update Hugging Face PyTorch Image Models to version 1.0.26 or later. Avoid opening untrusted files or visiting suspicious websites. Implement network monitoring to detect potential exploitation attempts. If immediate updates are not possible, consider disabling checkpoint parsing functionality until patched.

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