Web Application Reconnaissance
CommunityMap web app attack surfaces and endpoints.
Software Engineering#content discovery#endpoints#web-app#web reconnaissance#technology fingerprinting#JavaScript analysis
Authormacaugh
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Web application reconnaissance goes beyond subdomain discovery to map the full attack surface of a web application. This includes discovering hidden endpoints, analyzing client-side code, identifying backend technologies, and understanding the application's architecture.
Core Features & Use Cases
- Tech fingerprinting: Identify technologies, frameworks, and server configurations using whatweb, HTTP headers analysis, and Wappalyzer.
- Content and endpoint discovery: Locate hidden endpoints, admin panels, and forgotten files through directory brute-forcing and intelligent wordlists.
- JavaScript analysis: Extract potential API endpoints and hardcoded secrets by analyzing client-side code and embedded data.
- Use Case: Imagine you are assessing a recently discovered web application; you run the workflow to surface technologies, surface endpoints, and surface hidden paths for deeper testing.
Quick Start
- Identify live target: whatweb -v -a 3 https://target.com
- Retrieve obvious resources: curl -I https://target.com; curl -s https://target.com/robots.txt
- Run content discovery: feroxbuster -u https://target.com -w /usr/share/wordlists/... -o output.json
- Analyze JavaScript: katana -u https://target.com -jc -o crawl_js.txt
- Compile findings: review discovered endpoints, technologies, and sensitive paths for deeper testing
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Web Application Reconnaissance Download link: https://github.com/macaugh/super-rouge-hunter-skills/archive/main.zip#web-application-reconnaissance Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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