Quick answers
- Is CVE-2026-15679 exploited in the wild?
- No. Junglewise Threat Intelligence has no report of CVE-2026-15679 being exploited in the wild.
- How severe is CVE-2026-15679?
- High severity, with a CVSS score of 7.8, published 20 August 2026.
- Which products and versions are affected?
- Hugging Face PyTorch Image Models before 1.0.26.
- Is there a fix for CVE-2026-15679?
- A patch was published on 2026-07-30: Fixed in v1.0.26 Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
- How is CVE-2026-15679 attacked?
- It is attacked with local access.
- Am I affected by CVE-2026-15679?
- Check whether you run Hugging Face PyTorch Image Models at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.
Technical details
The vulnerability is a deserialization of untrusted data flaw in the checkpoint parsing logic of PyTorch Image Models. The affected code fails to properly validate user-supplied data before deserializing checkpoint files, enabling arbitrary code execution in the process context. The attack requires user interaction—specifically, the target must visit a malicious page or open a malicious checkpoint file. This is a local attack vector (user must interact with the file on their system), and the exploit results in arbitrary code execution with the privileges of the current process. The vulnerability was fixed in version 1.0.26.
Affected products
- Hugging Face PyTorch Image Models before 1.0.26
Timeline
- 2026-02-05: disclosed: Vulnerability reported to vendor
- 2026-07-30: patched: Fixed in v1.0.26
- 2026-07-30: advisory: Coordinated public release of advisory ZDI-26-523