CVE-2024-5547
Published: 27 June 2024
Summary
CVE-2024-5547 is a high-severity Relative Path Traversal (CWE-23) vulnerability in Stitionai Devika. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Data from Local System (T1005); ranked in the top 20.2% 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 Enterprise AI Assistants; in the Privacy and Disclosure risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-46747
Vulnerability details
A directory traversal vulnerability exists in the /api/download-project-pdf endpoint of the stitionai/devika repository, affecting the latest version. The vulnerability arises due to insufficient sanitization of the 'project_name' parameter in the download_project_pdf function. Attackers can exploit this flaw by manipulating the…
more
'project_name' parameter in a GET request to traverse the directory structure and download arbitrary PDF files from the system. This issue allows attackers to access sensitive information that could be stored in PDF format outside the intended directory.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- The vulnerability is in stitionai/devika, an AI-powered software engineering agent (Devika), which qualifies as an Enterprise AI Assistant. It was reported on an AI/ML bug bounty platform (huntr.com).
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Directory traversal in public-facing web endpoint (T1190) enables file and directory discovery (T1083) and collection of data from local system (T1005) via arbitrary file reads.
Affected Assets
Mitigating Controls
No mitigating controls mapped yet. The per-CVE control annotator has not reached this CVE.