Description
The web application using the Large Language Model (LLM) is vulnerable to Server-Side Request Forgery (SSRF) attacks. When presented with specially crafted prompts, the LLM makes HTTP requests to external domains and includes the response content in its answers. This vulnerability allows attackers to force the LLM to make unauthorized network connections, potentially accessing internal resources or leaking sensitive information.
Remediation
1. Implement strict network access controls for the LLM runtime environment. 2. Disable the ability for the LLM to make outbound network connections unless absolutely necessary. 3. If network access is required, implement a whitelist of allowed domains and endpoints. 4. Add input validation to detect and block prompts that attempt to trigger network requests. 5. Monitor and log all network connections made by the LLM system for security analysis. 6. Consider implementing a proxy server for all LLM outbound requests with additional security controls.