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url-prompt-injection

Detect cross-site prompt injection vulnerabilities in AI chatbot web interfaces.

11|1|Updated May 4, 2026
Search Tags:#web-security#prompt-injection#vulnerability-assessment#red-teaming#ai-chatbot#url-parameters#javascript-analysis
One-click install
npx skills add https://github.com/dreadnode/capabilities --skill url-prompt-injection
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: url-prompt-injection
Source: https://github.com/dreadnode/capabilities/tree/main/capabilities/web-security/skills/url-prompt-injection
Command: npx skills add https://github.com/dreadnode/capabilities --skill url-prompt-injection

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the risk of cross-site prompt injection vulnerabilities in AI chatbot, assistant, and agent web interfaces that accept user prompts via URL query parameters, which attackers can exploit to execute malicious prompts in authenticated victim sessions to steal data or perform unauthorized actions.

Core Features & Use Cases

  • 5-Stage Static Analysis Workflow: Systematically scan JavaScript source code to identify vulnerable URL parameter handling, including detection of query param consumption, nuqs state declarations, and auto-submit wiring in chat components.
  • Exploitability Assessment Framework: Guide testers through confirming parameter behavior, evaluating agent tool access and data exfiltration channels, and calibrating vulnerability severity based on impact.
  • Red Teaming Use Case: Ideal for security teams testing internal AI copilots, customer support chatbots, or agent UIs for injection flaws that could lead to data breaches or unauthorized tool execution.

Quick Start

Use the url-prompt-injection skill to scan your target application's JavaScript source code for URL-based prompt injection vulnerabilities in its AI chat interface and generate a prioritized severity assessment.

Frequently Asked Questions about url-prompt-injection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is URL-based prompt injection in AI chatbot interfaces?▼

URL-based prompt injection is a cross-site vulnerability where AI chat UIs accept prompt input via URL query parameters, allowing attackers to execute malicious prompts in authenticated victim sessions to steal data or perform unauthorized actions.

How do I detect cross-site prompt injection vulnerabilities in JavaScript source code?▼

Detect cross-site prompt injection by running a 5-stage static analysis workflow to scan JavaScript source code for vulnerable URL parameter handling, query param consumption, state declarations, and auto-submit wiring in chat components.

How do I assess exploitability and severity for prompt injection flaws in agent UIs?▼

Assess exploitability by confirming parameter behavior, evaluating agent tool access and data exfiltration channels, and calibrating vulnerability severity based on impact to produce calibrated severity ratings and proof-of-concept templates.

Can I use this for red teaming internal AI copilots and customer support chatbots?▼

Yes, this supports red teaming and security assessment workflows targeting single-page applications with conversational AI components, ideal for testing internal AI copilots, customer support chatbots, or agent UIs for injection flaws.

What are the limitations of static analysis for finding URL parameter consumption patterns?▼

Static analysis identifies vulnerable URL parameter consumption patterns and auto-submit wiring, but confirming exploitability requires behavioral testing of parameter handling to verify actual auto-submit behavior and data exfiltration channels.

Does the url-prompt-injection skill generate proof-of-concept templates for reported flaws?▼

Yes, the url-prompt-injection skill produces calibrated severity ratings and proof-of-concept templates for reported flaws after identifying vulnerable URL parameter consumption patterns and confirming auto-submit behavior.

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