Detecting Indirect Prompt Injection

Authorized-use-only notice: Scripts in this skill scan untrusted content for injection payloads and run detector models. Run scanning only on data you are authorized to process, and treat any extracted payloads as live untrusted input — never paste them back into a privileged LLM context.

Overview

Indirect prompt injection (MITRE ATLAS AML.T0051.001, OWASP LLM01:2025) occurs when an LLM-powered agent ingests external content — a web page it browses, a PDF or email it summarizes, an image it OCRs, a tool result it reads — and that content contains hidden instructions the model then follows as if they came from the developer or user. Because the agent treats all tokens in its context window as equally authoritative, an attacker who controls any consumed artifact can hijack the agent's behavior: exfiltrate conversation history, redirect tool calls, leak secrets, or pivot through connected systems.

Unlike direct injection (the user types the attack), indirect injection arrives through a trusted-looking data channel, which is why naive input filtering misses it. Payloads hide in many forms: HTML comments and display:none/z…