Answer in brief
CVE-2026-100841 records a High severity (CVSS 8.5) vulnerability in MONAI 1.6.0 PersistentDataset Remote Code Execution via Pickle Cache. The current sources do not mark it as known exploited. The current feed maps Project-MONAI/MONAI (generic). Check affected ranges and fixed versions before updating.
Analysis pending evidence review
HOL Guard separates source facts from reviewed analysis. See the methodology.
CVSS is 8.5. The current sources do not mark it as known exploited. Treat this as a source-backed prioritization signal, not a statement about your environment.
Analysis status
Analysis pending evidence review
Factual feed record only; HOL analysis is not approved for indexing. Read the methodology.
The current feed maps Project-MONAI/MONAI (generic). Check affected ranges and fixed versions before updating.
| Package | Affected range | Fixed version |
|---|---|---|
| Project-MONAI/MONAIgeneric | 1.6.0 | Not reported |
Published upstream
Sep 27, 2026
Evidence: source:cvelist:source_dates:source-dates:recordSource modified
Sep 27, 2026
Evidence: source:cvelist:source_dates:source-dates:recordFirst seen by HOL
Sep 27, 2026
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.
Quoted source text, attributed separately from HOL analysis.