Scan your AI prompts & agent configs against OWASP Top 10 for LLM Applications
100% Client-Side — Your data never leaves your browserSupports system prompts, tool/function definitions, agent workflows, RAG configs, and API integration code. All analysis runs locally in your browser.
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The OWASP Top 10 for Large Language Model Applications is the authoritative security framework identifying the most critical vulnerabilities in LLM-powered systems. Published by the Open Worldwide Application Security Project (OWASP), it helps developers, security teams, and organizations understand and mitigate risks specific to AI/LLM applications.
Attackers manipulate LLM behavior through crafted inputs that override system instructions, bypass safety filters, or extract sensitive data.
LLM output is trusted and used without validation, enabling XSS, SSRF, command injection, or privilege escalation in downstream systems.
Malicious data in training sets introduces backdoors, biases, or vulnerabilities that persist in model behavior.
Crafted inputs cause excessive resource consumption — long prompts, recursive expansions, or computationally expensive queries.
Compromised model weights, plugins, training pipelines, or third-party components introduce security risks.
LLMs inadvertently reveal PII, credentials, API keys, system prompts, or proprietary data through their responses.
LLM plugins/tools lack proper access controls, input validation, or sandboxing, enabling unauthorized actions.
LLM agents granted too many permissions or capabilities without proper guardrails, enabling unintended actions with real-world consequences.
Systems blindly trust LLM outputs without verification, human oversight, or fallback mechanisms for critical decisions.
Unauthorized extraction of model weights, parameters, or proprietary fine-tuning through API abuse or side-channel attacks.
As AI agents become more autonomous — browsing the web, executing code, managing files, making payments — the attack surface expands dramatically. A single prompt injection vulnerability could let an attacker:
This free scanner helps you identify these risks before they reach production. All analysis runs in your browser — your prompts never leave your device.