CVE-2026-100845: MONAI · Deserialization of Untrusted Data
Affects MONAISource CVE Database V5
Public exploit available · CVSS 8.5 High : upgrade to 1.6.0 as a priority.
Data as of 9 Nov 2026, 23:24 UTC
- 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:NExploitation evidence
t = 0 is the CVE’s publication on cve.org
Disclosed: evidence found.
CVE published 27 Sep 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: evidence found.
CISA SSVC: proof of concept public
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
Timeline
CVE ID reserved
by VulnCheck
, 1 hour before disclosure
CVE published
on cve.org
, t = 0
CISA SSVC assessment
proof of concept public
, 36 hours after disclosure
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
| Product | Affected | Fixed in |
|---|---|---|
| Project-MONAIMONAI | Affected
| Fixed in
|
PyPIMONAIpkg:pypi/MONAIOther threats | Affected
| Fixed in
|
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.