High severity · published Oct 12, 2026
CVE-2026-109360
MONAI 0.4.0 before 1.6.1 RCE via SENet Pretrained Weights Over Plaintext HTTP
7.5
CVSS
0.6%
EPSS
No
On KEV
Description
MONAI 0.4.0 before 1.6.1 contains a remote code execution vulnerability that allows on-path attackers to execute code by tampering with SENet pretrained weights fetched over plaintext HTTP. Attackers can substitute a crafted .pth file that load_state_dict_from_url unpickles without weights_only=True, executing code when SEResNet50 or other SENet models are constructed with pretrained=True.
CVSS vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
Attack vector
Network
Complexity
High
Privileges
None
User interaction
Required
Confidentiality
High
Integrity
High
Availability
High
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.6% · higher than 47% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
MO
MONAI · Project-MONAI
0.4.0 before 1.6.1 · source: vendor
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2026-109360
CVE.org
https://www.cve.org/CVERecord?id=CVE-2026-109360
vendor-advisory
https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-vm9c-7j6g-c7mm
third-party-advisory
https://www.vulncheck.com/advisories/monai-0.4.0-before-1.6.1-rce-via-senet-pretrained-weights-over-plaintext-http
More from MONAI
8.8
CVE-2026-118683
MONAI 1.2.0 before 1.6.1 Code Execution via bundle configs/logging.conf
8.8
CVE-2026-100846
MONAI before 1.5.2 Remote Code Execution via Pickle Deserialization
8.8
CVE-2026-100842
MONAI through 1.6.0 _get_fake_spatial_shape eval() Sandbox Bypass via Attribute Chains
8.8
CVE-2025-58757
MONAI's unsafe use of Pickle deserialization may lead to RCE
8.8
CVE-2025-58756
MONAI's unsafe torch usage may lead to arbitrary code execution