CVE-2026-15679: Hugging Face PyTorch Image Models checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability
Vulnerability summary
CVE-2026-15679 is a high (CVSS 7.8) Deserialization of Untrusted Data vulnerability in hugging face pytorch image models. EPSS estimates a 0.45% chance of exploitation in the next 30 days, higher than 39.1% of scored vulnerabilities.
Not severe (CVSS 7.8, local access); no exploitation reported by the 5 checked sources
Source freshness unavailable
How is this decided?Timeline
- 20-08-2026PublishedVulnerability first disclosed.
- 21-08-2026Last modifiedVulnerability information updated.
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.
CVSS metrics
2 scores · 2 sources · 1 version- NVDNIST7.8HighCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS trend
Probability
0.45%
Chance of exploitation in the next 30 days
Percentile
39%
Versus all other CVEs
30-day change
No change 0.00 pp
From 0.45% on 04-10-2026
Known exploited
Compare KEV catalogsNot in the CISA KEV catalog.
Not in the ENISA CNW catalog.
Not in the CIRCL catalog.
Public exploits
0 foundNo public exploits indexed.
Weaknesses
CWE · root causeAffected systems
Known conditions: local access, no authentication, user interaction (CVSS vector). Other conditions: not stated in public data.
Hugging face1 product
- pytorch image models1.0.24
1 vendor · 1 product
References
1 links- www.zerodayinitiative.com/advisories/ZDI-26-523/X Research Advisory