CVE-2024-8099
Published: 20 March 2025
Summary
CVE-2024-8099 is a high-severity SSRF (CWE-918) vulnerability. Its CVSS base score is 8.3 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Network Service Discovery (T1046); ranked at the 35.7th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as NLP and Transformers; in the Supply Chain and Deployment risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-6920
Vulnerability details
A Server-Side Request Forgery (SSRF) vulnerability exists in the latest version of vanna-ai/vanna when using DuckDB as the database. An attacker can exploit this vulnerability by submitting crafted SQL queries that leverage DuckDB's default features, such as `read_csv`, `read_csv_auto`, `read_text`,…
more
and `read_blob`, to make unauthorized requests to internal or external resources. This can lead to unauthorized access to sensitive data, internal systems, and potentially further attacks.
- CWE(s)
AI Security AnalysisAI
- AI Category
- NLP and Transformers
- 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 TechniquesAI
Why these techniques?
SSRF vulnerability enables exploitation of public-facing application (T1190) via crafted SQL queries and facilitates network service discovery (T1046) by making unauthorized requests to internal resources.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.
Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.
Validates server-side URLs and resource references to block SSRF attempts.
Detects server-side request forgery through monitoring of unexpected outbound connections.