Path Traversal in Monai Medical Open Network For Ai
CVE-2025-58755
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. The extractall function `zip_file.extractall(output_dir)` is used directly to process compressed files. It is used in many places in the project. In versions up to and including 1.5.0, when the Zip file containing malicious content is decompressed, it overwrites the system files. In addition, the project allows the download of the zip content through the link, which increases the scope of exploitation of this vulnerability. As of time of publication, no known fixed versions are available.
Vulnerability class: Path Traversal (Directory Traversal)
Published · last modified .
CVSS v3 metric
CVSS v3 base score 8.8 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H.
EPSS exploit prediction
EPSS: 0.006 (48.0th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 48th percentile — 48.0% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.006 · newest: 0.006 · change: +0.000
Affected products
- Monai Medical Open Network For Ai
- Project-Monai Monai — versions <= 1.5.0
Weakness classification (CWE)
Public proof-of-concept exploits
References
- github.com/Project-MONAI/MONAI/security/advisories/GHSA-x6ww-pf9m-m73m (Exploit, Vendor Advisory)
Frequently asked questions
- What is CVE-2025-58755?
- CVE-2025-58755 is a high-severity vulnerability in Monai Medical Open Network For Ai, classified under Path Traversal. CVSS score: 8.8/10. Published 2025-09-09.
- How severe is CVE-2025-58755?
- High severity. CVSS v3 base score is 8.8 out of 10.
- Is CVE-2025-58755 known to be exploited?
- 1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.