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CVE-2026-100845VulnerabilityPublished

MONAI before 1.6.0 contains an unsafe deserialization vulnerability in the NumpyReader class that unconditionally uses

Source GCVE Database

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Authoritative record:CVE-2026-100845· High 8.5

Not known to be exploited · CVSS 8.5 High : upgrade to 1.6.0 soon.

Data as of 10 Nov 2026, 23:24 UTC

CVSS 4.0 base score
8.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 10% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 1.6.0
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

t = 0 is the CVE’s publication on cve.org

  1. Disclosed: evidence found.

    CVE published 27 Sep 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: evidence found.

    CISA SSVC: proof of concept public

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

Timeline

  1. CVE ID reserved

    by VulnCheck

    , 1 hour before disclosure

  2. CVE published

    on cve.org

    , t = 0

  3. CISA SSVC assessment

    proof of concept public

    , 36 hours after disclosure

  4. In Threat Radar

    record ingested

    , 29 days after disclosure

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), CISA SSVC, the Metasploit, Exploit-DB and nuclei-templates index as of 10 Nov 2026.

What to do

Upgrade MONAI to 1.6.0.

Affected software

ProductAffectedFixed in
Project-MONAIMONAIAffected
  • <1.6.0
Fixed in
  • 1.6.0
PyPIMONAIpkg:pypi/MONAIOther threatsAffected
  • <1.6.0
Fixed in
  • 1.6.0

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

A fix is available in MONAI version 1.6.0 and later. Users should upgrade to version 1.6.0 or newer to remediate this vulnerability. Until then, avoid loading untrusted .npy or .npz files with MONAI's NumpyReader class. No vendor advisory content was provided to indicate alternative mitigations or temporary fixes.

Description

MONAI versions prior to 1.6.0 have an unsafe deserialization vulnerability in the NumpyReader class. This class uses numpy.load with allow_pickle=True unconditionally when loading .npy and .npz files. Maliciously crafted .npy files containing pickle payloads can execute arbitrary code during loading in MONAI's data pipeline.

References

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