ZDI-26-523: Hugging Face PyTorch Image Models checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability
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.
AI Analysis
Technical Summary
CVE-2026-15679 is a remote code execution vulnerability in Hugging Face PyTorch Image Models caused by deserialization of untrusted data during checkpoint parsing. The vulnerability arises from insufficient validation of user-supplied data, enabling attackers to execute arbitrary code remotely if the user interacts with malicious content. The vulnerability has a CVSS score of 7.8 and requires user interaction for exploitation. It affects versions prior to 1.0.26 and has been fixed in that version.
Potential Impact
Successful exploitation allows remote attackers to execute arbitrary code with the privileges of the current process, potentially leading to full compromise of the affected system. The vulnerability requires user interaction but can result in high confidentiality, integrity, and availability impact.
Mitigation Recommendations
A patch is available and the vulnerability is fixed in Hugging Face PyTorch Image Models version 1.0.26. Users and administrators should upgrade to version 1.0.26 or later to remediate this vulnerability. No additional mitigation steps are indicated by the vendor advisory.
ZDI-26-523: Hugging Face PyTorch Image Models checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability
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.
Affected software
pkg:pypi/huggingface-pytorch-image-modelsRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-15679 is a remote code execution vulnerability in Hugging Face PyTorch Image Models caused by deserialization of untrusted data during checkpoint parsing. The vulnerability arises from insufficient validation of user-supplied data, enabling attackers to execute arbitrary code remotely if the user interacts with malicious content. The vulnerability has a CVSS score of 7.8 and requires user interaction for exploitation. It affects versions prior to 1.0.26 and has been fixed in that version.
Potential Impact
Successful exploitation allows remote attackers to execute arbitrary code with the privileges of the current process, potentially leading to full compromise of the affected system. The vulnerability requires user interaction but can result in high confidentiality, integrity, and availability impact.
Mitigation Recommendations
A patch is available and the vulnerability is fixed in Hugging Face PyTorch Image Models version 1.0.26. Users and administrators should upgrade to version 1.0.26 or later to remediate this vulnerability. No additional mitigation steps are indicated by the vendor advisory.
Technical Details
- Article Source
- {"url":"http://www.zerodayinitiative.com/advisories/ZDI-26-523/","fetched":true,"fetchedAt":"2026-07-31T01:32:44.298Z","wordCount":209}
- Exploit Sophistication
- 5
- Weaponization Potential
- 6
- Stealth Capability
- 5
- Ai Analysis Type
- exploit-specialized
- Classification
- {"confidence":0.95,"severitySource":"cvss-text","classifier":"rss-v2"}
Threat ID: 6a6bfc329c2644c7f81c6265
Added to database: 07/31/2026, 01:36:50 UTC
Last enriched: 08/15/2026, 05:14:53 UTC
Last updated: 09/13/2026, 10:01:29 UTC
Views: 353
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