What is the CVSS score of CVE-2026-21851?

CVE-2026-21851 has a CVSS 3.1 base score of 5.3 (Medium). CVSS vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:H/A:N. EPSS exploitation probability: 0.0%.

Which versions of AI / ML are affected by CVE-2026-21851?

Organizations using versions should be aware of moderate risk from CVE-2026-21851, a path traversal vulnerability rated CVSS 5.3. This could allow unauthorized file access.. A patch is available.

Is there a public PoC exploit available for CVE-2026-21851?

Yes, a public proof-of-concept exploit is available for CVE-2026-21851. Prioritise patching immediately. EPSS: 0.0%.

How to fix or mitigate CVE-2026-21851?

Within 30 days: Identify affected systems running versions and apply vendor patches as part of regular patch cycle. Review file handling controls.

AI / ML CVE-2026-21851

MEDIUM

Path Traversal (CWE-22)

2026-01-07 security-advisories@github.com

GHSA-9rg3-9pvr-6p27

Path Traversal AI / ML Monai

5.3

CVSS 3.1 · GitHub Advisory

Severity by source

GitHub Advisory PRIMARY

5.3 MEDIUM

AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:H/A:N

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

Attack Vector

Network

Attack Complexity

High

Privileges Required

None

User Interaction

Required

Scope

Unchanged

Confidentiality

None

Integrity

High

Availability

None

Lifecycle Timeline

Analysis Generated

Mar 12, 2026 - 21:54 vuln.today

PoC Detected

Feb 02, 2026 - 15:13 vuln.today

Public exploit code

Patch released

Feb 02, 2026 - 15:13 nvd

Patch available

CVE Published

Jan 07, 2026 - 23:15 nvd

MEDIUM 5.3

Blast Radius

ecosystem impact

† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth

4 pypi packages depend on monai (4 direct, 0 indirect)

Ecosystem-wide dependent count for version 1.5.2.

DescriptionGitHub Advisory

MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.1, a Path Traversal (Zip Slip) vulnerability exists in MONAI's _download_from_ngc_private() function. The function uses zipfile.ZipFile.extractall() without path validation, while other similar download functions in the same codebase properly use the existing safe_extract_member() function. Commit 4014c8475626f20f158921ae0cf98ed259ae4d59 fixes this issue.

AnalysisAI

MONAI versions up to 1.5.1 contain a path traversal vulnerability in the _download_from_ngc_private() function that fails to validate extracted archive contents, allowing attackers to write files outside the intended directory during package extraction. An attacker with user interaction can exploit this via a malicious ZIP file to overwrite arbitrary files on the system. Public exploit code exists for this vulnerability, and a patch is available in commit 4014c8475626f20f158921ae0cf98ed259ae4d59.

Technical ContextAI

Classified as CWE-22 (Path Traversal). Affects Monai. MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.1, a Path Traversal (Zip Slip) vulnerability exists in MONAI's _download_from_ngc_private() function. The function uses zipfile.ZipFile.extractall() without path validation, while other similar download functions in the same codebase properly use the existing safe_extract_member() function. Commit 4014c8475626f20f158921ae0cf98ed259ae4d59 fixes this issue.

RemediationAI

A vendor patch is available — apply it immediately. Validate and sanitize file path inputs. Use allowlists. Restrict network access to the affected service where possible.