CVE-2024-38206
Published: 06 August 2024
Summary
CVE-2024-38206 is a high-severity SSRF (CWE-918) vulnerability in Microsoft Copilot Studio. Its CVSS base score is 8.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Network Service Discovery (T1046); ranked in the top 14.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Enterprise AI Assistants; in the Privacy and Disclosure risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-37173
Vulnerability details
An authenticated attacker can bypass Server-Side Request Forgery (SSRF) protection in Microsoft Copilot Studio to leak sensitive information over a network.
- 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
- Microsoft Copilot Studio is an enterprise platform for building, customizing, and deploying AI assistants (Copilots), fitting the Enterprise AI Assistants category.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SSRF bypass enables authenticated attackers to send unauthorized internal network requests, facilitating network/cloud service discovery (T1046, T1526), querying cloud metadata for system info (T1522), and stealing credentials from metadata APIs (T1552.005).
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.