CVE-2024-9410
Published: 04 October 2024
Summary
CVE-2024-9410 is a medium-severity SSRF (CWE-918) vulnerability in Ada Ada. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 33.8th 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 Enterprise AI Assistants; in the Other ATLAS/OWASP Terms risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-49922
Vulnerability details
Ada.cx's Sentry configuration allowed for blind server-side request forgeries (SSRF) through the use of a data scraping endpoint.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Ada.cx is an AI-powered customer service automation platform (enterprise AI assistant), and the vulnerability affects its Sentry configuration via a data scraping endpoint, confirming AI-related software impact.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The SSRF vulnerability in the public-facing data scraping endpoint enables exploitation of public-facing applications (T1190), network service discovery on internal systems (T1046), and active scanning of internal IP blocks (T1595.001) via forced server-side requests.
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.