stored-xss-detection

Trace storage XSS risk chains from source to render sinks.

83|8|Updated May 6, 2026
One-click install
npx skills add https://github.com/Q16G/aster --skill stored-xss-detection
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stored-xss-detection
Source: https://github.com/Q16G/aster/tree/main/skills/code-audit/stored-xss-detection
Command: npx skills add https://github.com/Q16G/aster --skill stored-xss-detection

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps security teams identify and confirm storage-type XSS risk chains by linking user input through persistence to its eventual render sink, turning scattered findings into a verifiable risk narrative.

Core Features & Use Cases

  • Leverages existing audit workflows (sast-scan, dataflow-analysis, file-upload) to assemble end-to-end XSS chains.
  • Provides a structured methodology for entry points, persistence points, and render-time sinks, with concrete guidance and references.
  • Supports reproducible evidence collection and reporting by aligning with the included references to illustrate common attack patterns.

Quick Start

Analyze an example project to enumerate input -> persistence -> render sinks and generate a findings-ready report.

Frequently Asked Questions about stored-xss-detection

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

FAQPage Schema
How do I trace stored XSS vulnerabilities from user input to render sinks?

Stored XSS detection identifies risk chains by linking user input through database persistence to render sinks, turning scattered application findings into a verifiable security risk narrative.

How do I audit web applications for storage-type XSS risk chains?

You audit web apps for storage XSS by enumerating entry points, persistence points, and render-time sinks, then applying dataflow analysis to assemble reproducible evidence of attack patterns.

Does stored XSS detection integrate with existing SAST scan and dataflow analysis workflows?

Yes, this approach leverages existing SAST scan and dataflow analysis workflows to assemble end-to-end XSS chains and evaluate sanitization coverage within code auditing pipelines.

What is the best way to confirm storage XSS risks during a security review?

The best way to confirm storage XSS risks is aligning entry, persistence, and sink points with concrete references to illustrate common attack patterns for reproducible evidence collection.

Can I use stored XSS detection for rich text rendering components in web apps?

Yes, stored XSS detection is specifically applied to web apps that store user input and render it in HTML or rich text, evaluating sanitization and coverage criteria.