MONAI before 1.6.0 contains an unsafe deserialization vulnerability in the NumpyReader class that unconditionally uses
Source GCVE Database
Not known to be exploited · CVSS 8.5 High : upgrade to 1.6.0 soon.
Data as of 10 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.
- 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
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.