Server-Side Request Forgery (SSRF) in LLMs: Prompt Inject...
Definition
SSRF in LLMs occurs when a malicious prompt manipulates an LLM to generate or execute code that performs unauthorized network requests to internal systems or sensitive external endpoints. This typically exploits the LLM's access to tools, APIs, or underlying execution environments capable of making HTTP/S requests, effectively turning the LLM into a proxy for an attacker.
Why It Matters
This vulnerability can lead to catastrophic data exfiltration, internal network reconnaissance, access to cloud metadata services (e.g., AWS IMDS for temporary credentials), and unauthorized execution of internal APIs. Attackers can pivot from a compromised LLM to gain deep access to an organization's infrastructure, bypassing perimeter defenses.
How Exogram Addresses This
Exogram's 0.07ms deterministic policy rules intercept all LLM-generated outputs and tool calls at the execution boundary, *before* any network request is initiated. Our firewall analyzes the target URL, headers, and body against a granular allowlist/denylist of internal and external resources, instantly blocking any unauthorized or suspicious outbound requests, preventing the SSRF payload from ever reaching its target.
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Related Terms
Key Takeaways
- → This concept is part of the broader AI governance landscape
- → Production AI requires multiple layers of protection
- → Deterministic enforcement provides zero-error-rate guarantees