CVE-2025-58755: MONAI · Path Traversal
Affects MONAISource CVE Database V5
Not known to be exploited · CVSS 8.8 High.
Data as of 26 Oct 2026, 17:16 UTC
- EPSS
- 0.6% chance of exploitation in 30 days – higher than 49% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 8 Sep 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Project-MONAI MONAI | Affected
| Fixed in– |
AI-suggested
- Immediate mitigation should involve disabling or restricting the functionality that processes and extracts zip files from untrusted sources until a patch is available.
- Implement strict input validation and sanitization on all uploaded or downloaded zip archives to detect and reject files with suspicious path traversal sequences before extraction.
- Use safer extraction libraries or custom extraction code that explicitly checks and enforces that extracted file paths remain within the intended directory boundary.
- Employ application-level sandboxing or containerization to isolate the extraction process, limiting the potential damage if exploitation occurs.
- Monitor file system changes and maintain integrity checks on critical system and application files to detect unauthorized modifications promptly.
- Restrict privileges of the MONAI process to the minimum necessary, preventing it from overwriting sensitive system files.
- Network-level controls should limit access to the zip download functionality to trusted users and networks.
- Stay informed on updates from the MONAI project and apply patches immediately once released.
- Conduct security awareness training for developers and operators about the risks of path traversal vulnerabilities and secure file handling practices.
Description
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.