EUVD-2026-87843
GHSA-4jj3-3266-2688
Severity by source
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/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Attacker supplies a malicious file the victim must load (AV:L, UI:R), no privileges or special complexity needed, and pickle execution yields full code execution in the victim context (C/I/A:H).
Primary rating from Vendor (VulnCheck).
CVSS VectorVendor: VulnCheck
Lifecycle Timeline
5DescriptionCVE.org
MONAI before 1.6.0 contains an unsafe deserialization vulnerability in the NumpyReader class that unconditionally uses numpy.load with allow_pickle=True when loading .npy and .npz files. Attackers can craft malicious .npy files with pickle payloads that execute arbitrary code when loaded through MONAI's standard data pipeline.
Articles & Coverage 1
AnalysisAI
Arbitrary code execution in MONAI versions prior to 1.6.0 occurs when a crafted .npy or .npz file is loaded through the NumpyReader class, which hardcodes numpy.load with allow_pickle=True. An unauthenticated attacker who can place a malicious file on a path the victim opens can trigger pickle deserialization, leading to full compromise of confidentiality, integrity, and availability. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires a victim to load an attacker-supplied .npy or .npz file through MONAI's standard data pipeline (LoadImage transform or any dataset class such as PersistentDataset/CacheDataset/SmartCacheDataset, which auto-select NumpyReader for those extensions). … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | This is a genuine remote-code-execution-class deserialization flaw (CWE-502), but the exploitation model is local/interaction-dependent rather than remotely wormable. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | Full exploit scenario with step-by-step reproduction available after sign-in. |
| Remediation | Vendor-released patch: 1.6.0. … Detailed patch versions, workarounds, and compensating controls in full report. |
Recommended ActionAI
Within 24 hours, identify all systems running MONAI versions prior to 1.6.0, inventory any pipelines that use NumpyReader or load .npy/.npz files, and instruct users not to open untrusted array or model files; where possible, disable NumpyReader or enforce numpy.load(..., allow_pickle=False) in custom wrappers. …
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External POC / Exploit Code
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