Deserialization in Monai Medical Open Network For Ai
CVE-2025-58757
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, the `pickle_operations` function in `monai/data/utils.py` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using `pickle.loads()` . This function also lacks any security measures. The deserialization may lead to code execution. As of time of publication, no known fixed versions are available.
Vulnerability class: Insecure Deserialization
Published · last modified .
CVSS v3 metric
CVSS v3 base score 8.8 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H.
EPSS exploit prediction
EPSS: 0.006 (48.9th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 49th percentile — 48.9% 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-p8cm-mm2v-gwjm (Exploit, Vendor Advisory)
Frequently asked questions
- What is CVE-2025-58757?
- CVE-2025-58757 is a high-severity vulnerability in Monai Medical Open Network For Ai, classified under Deserialization of Untrusted Data. CVSS score: 8.8/10. Published 2025-09-09.
- How severe is CVE-2025-58757?
- High severity. CVSS v3 base score is 8.8 out of 10.
- Is CVE-2025-58757 known to be exploited?
- 1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.