CVE-2024-45190
Mage-Ai
Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:NSummary
CVE-2024-45190 is a medium-severity Path Traversal: '.../...//' (CWE-35) vulnerability in Mage Mage-Ai. Its CVSS base score is 6.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Data from Local System (T1005); ranked in the top 45% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Other AI Platforms; in the Privacy and Disclosure risk domain.
The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) and AC-3 (Access Enforcement) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-2494
Vulnerability Data
Mage AI allows remote users with the "Viewer" role to leak arbitrary files from the Mage server due to a path traversal in the "Pipeline Interaction" request
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other AI Platforms
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Mage AI is an open-source data pipeline platform designed for AI/ML workflows, including pipeline management and interactions, which aligns with Other Platforms as it is neither a framework, library, nor specialized in NLP/CV/etc.
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Input validation directly neutralizes path sequences so the traversal cannot be introduced or exploited.
Enforces access authorizations on the resulting pathname, blocking traversal attempts from succeeding.
Enforces information flow rules that stop unauthorized directory escapes via crafted paths.
Least privilege reduces the impact of any successful traversal by limiting accessible resources.
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.
Secure SDLC practices directly require input validation and path sanitization that neutralize traversal sequences.
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 can detect path-traversal flaws before release.
Secure SDLC mandates input validation and path-handling controls that directly mitigate path traversal.
Application security requirements include rules for safe file-path construction and canonicalization.
Secure architecture principles require proper directory restrictions and input sanitization to prevent traversal.
Secure coding standards explicitly forbid unsafe path concatenation and mandate canonicalization routines.
Information access restriction limits file reachability but does not address the input-validation flaw itself.