CVE-2024-5211
Mintplexlabs Anythingllm ≤ 1.0.0
Raw vector
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2024-5211 is a high-severity Path Traversal: '\..\filename' (CWE-29) vulnerability in Mintplexlabs Anythingllm. Its CVSS base score is 7.2 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 39% 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 LLM Application Platforms; in the Other ATLAS/OWASP Terms 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-2024-46451
Vulnerability Data
A path traversal vulnerability in mintplex-labs/anything-llm allowed a manager to bypass the `normalizePath()` function, intended to defend against path traversal attacks. This vulnerability enables the manager to read, delete, or overwrite the 'anythingllm.db' database file and other files stored in…
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the 'storage' directory, such as internal communication keys and .env secrets. Exploitation of this vulnerability could lead to application compromise, denial of service (DoS) attacks, and unauthorized admin account takeover. The issue stems from improper validation of user-supplied input in the process of setting a custom logo for the app, which can be manipulated to achieve arbitrary file read, deletion, or overwrite, and to execute a DoS attack by deleting critical files required for the application's operation.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application Platforms
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- mintplex-labs/anything-llm is an open-source enterprise AI application for multi-user LLM interactions, document management, and workflows, fitting the Enterprise AI Assistants category.
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 the '\..\filename' sequence before pathname resolution occurs.
Access enforcement denies requests that resolve outside the intended directory even when the traversal sequence is present.
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 block this traversal vector.
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 can discover path-traversal flaws but does not itself prevent them in production code.
Application security requirements can mandate input validation and path canonicalization to block traversal sequences.
Secure architecture principles include directory sandboxing and safe file-access design that mitigate path traversal.
Secure coding standards directly require neutralizing path traversal sequences such as '\..\filename'.