Skip to main content
VulnerabilityPublished Updated

CVE-2026-100845: MONAI · Deserialization of Untrusted Data

Affects MONAISource CVE Database V5

0
Compare

Public exploit available · CVSS 8.5 High : upgrade to 1.6.0 as a priority.

Data as of 9 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.
CISA SSVC
Exploitation
Proof of concept is public or traded
Automatable
Attackers cannot reliably automate steps 1–4 of the kill chain
Technical impact
Total control over the software or total information disclosure

CISA SSVC assessment, 2026-09-28.

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

Upgrade MONAI to version 1.6.0 or later, where this vulnerability is fixed by removing unsafe deserialization with allow_pickle=True. No other mitigations are indicated by the vendor advisory.

Description

MONAI versions before 1.6.0 have a deserialization vulnerability in the NumpyReader class due to unsafe use of numpy.load with allow_pickle=True. This allows attackers to craft malicious .npy files containing pickle payloads that execute arbitrary code when loaded. The issue is fixed in version 1.6.0.

References

Community reviews

Loading reviews…