Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2025-58755 is a high-severity Path Traversal (CWE-22) vulnerability in Monai Medical Open Network For Ai. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 47th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Computer Vision; in the Supply Chain and Deployment risk domain.
The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-58755 is a path traversal vulnerability (CWE-22) in MONAI, an open-source AI toolkit for healthcare imaging. In versions up to and including 1.5.0, the project directly invokes the `zip_file.extractall(output_dir)` function without path sanitization in multiple locations to process compressed files. This allows malicious ZIP archives to overwrite arbitrary system files during decompression. The CVSS v3.1 base score is 8.8 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H), reflecting high severity due to network accessibility and significant impacts.
An attacker with low privileges, such as an authenticated user, can exploit this over the network by providing a specially crafted ZIP file containing paths that traverse to system directories. The project's support for downloading ZIP content via links further broadens the attack surface, enabling remote supply of malicious files. Successful exploitation overwrites critical system files, potentially granting full control over the affected system with high confidentiality, integrity, and availability impacts.
The primary advisory is available at https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-x6ww-pf9m-m73m. As of the CVE publication on 2025-09-09, no fixed versions are available, so mitigation requires avoiding processing untrusted ZIP files with MONAI's extractall functionality until patches are released.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-27191
Vulnerability Data
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. The extractall function `zip_file.extractall(output_dir)` is used directly to process compressed files. It is used in many places in the project. In versions up to and including…
more
1.5.0, when the Zip file containing malicious content is decompressed, it overwrites the system files. In addition, the project allows the download of the zip content through the link, which increases the scope of exploitation of this vulnerability. As of time of publication, no known fixed versions are available.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Computer Vision
- Risk Domain
- Supply Chain and Deployment
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
V5.3.2
Mitigating Controls (NIST 800-53 r5) AI
Enforces the intended directory access authorizations that path traversal would otherwise bypass.
Input validation directly neutralizes special path elements before pathname construction occurs.
Least privilege reduces the impact of any unauthorized file access obtained via traversal.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Patching/maintenance can remediate known path-traversal flaws in deployed software (partial prevention of exploitability) but does nothing to stop the coding defect from being introduced in the first place.
PR.AA-05 defines and reviews access policies but does not address code-level pathname neutralization, so neither direction prevents CWE-22.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development catches path traversal via static/dynamic analysis.
Secure SDLC mandates input validation and path sanitization that directly prevent path traversal.
Application security requirements include rules for safe file handling and canonicalization.
Secure architecture principles require least-privilege file access and directory isolation.
Secure coding standards explicitly forbid unsafe path construction and mandate safe APIs.
Information access restriction limits which files an application may read or write.