Vulnerability Description
In MONAI 1.6.0, PersistentDataset (monai/data/dataset.py) explicitly rejects the combination track_meta=True with weights_only=True, forcing users who cache MetaTensors (the default tensor type in MONAI >= 1.0) to run torch.load(hashfile, weights_only=False). Related cache helpers in monai/data/utils.py also call pickle.loads on cached content and derive cache keys with hashlib.md5. As a result, a local user with write access to a shared or world-writable cache_dir (e.g. /tmp/monai_cache, HPC scratch, ~/.cache/monai) can place a malicious pickle file that is deserialized the next time another user's MONAI pipeline reads the cache, resulting in arbitrary code execution in that user's context. All released versions of the monai pip package are affected; no patched version is available as of the advisory.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Project-Monai | Monai | 1.6.0 |
Related Weaknesses (CWE)
References
- https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-636w-j999-g7x5MitigationVendor Advisory
- https://www.vulncheck.com/advisories/monai-1.6.0-persistentdataset-remote-code-eThird Party Advisory
FAQ
What is CVE-2026-100841?
CVE-2026-100841 is a vulnerability with a CVSS score of 7.8 (HIGH). In MONAI 1.6.0, PersistentDataset (monai/data/dataset.py) explicitly rejects the combination track_meta=True with weights_only=True, forcing users who cache MetaTensors (the default tensor type in MON...
How severe is CVE-2026-100841?
CVE-2026-100841 has been rated HIGH with a CVSS base score of 7.8/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-100841?
Check the references section above for vendor advisories and patch information. Affected products include: Project-Monai Monai.