Prompt Injection Tester
Paste your AI system prompt. We'll test it against 10 real injection attacks, score your defenses, and show you exact fixes.
What is Prompt Injection?
Prompt injection is the #1 vulnerability in AI-powered applications (OWASP LLM01 2025). It occurs when an attacker crafts input that causes an AI model to ignore its system prompt and follow injected instructions instead โ revealing confidential data, breaking role restrictions, or performing unauthorized actions.
Unlike traditional SQL injection or XSS, prompt injection exploits the fundamental nature of large language models: they process all text in their context window as instructions, regardless of source. An attacker who can get text into the model's context โ via user input, a document, a webpage, or an API response โ can potentially override your system prompt entirely. The OWASP Agentic AI guidelines highlight this risk as especially severe in autonomous agents where the model can take real-world actions.
Defending against prompt injection requires a layered approach: explicit role-locking, instruction override guards, output restrictions, confidentiality clauses, and defined behavior for unexpected inputs. No single guardrail is sufficient โ attackers will find the gaps. This tool checks for the most commonly missing defenses and simulates real-world attack vectors so you can identify and fix them before deploying to production.
Role Hijacking
DAN and persona attacks trick the model into "becoming" an unrestricted character.
Indirect Injection
Instructions hidden in documents, emails, or web pages the AI processes as data.
Prompt Leaking
Social engineering and direct requests to extract confidential system prompt contents.