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    CVE-2026-100841

    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.

    Published:Sep 27, 2026
    Last Modified:Sep 30, 2026
    EPS:Sep 27, 2026
    EPSS Score:0.00125
    CVSS Score:7.8

    Affected Products

    Vendor
    Project-monai
    Product
    Monai

    Exploits

    No exploit reference

    Common Attack Pattern Enumeration and Classification (CAPEC)

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    Attack Vector
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    Privileges Required
    None
    Low
    High
    User Interaction
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    Scope
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    Changed
    Confidentiality
    None
    Low
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    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High