techstack-backend
Backend tech-stack identification — web servers, runtimes, languages, frameworks, databases, APIs, and CMS via HTTP headers, cookies, error pages, and API discovery.
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Static analysis is a first line of defense, not a guarantee. Read the source
SKILL.md
Backend Tech-Stack Identification
Scope
Identify server-side technologies: web servers (nginx, Apache, IIS), runtimes (Node, Python, PHP, Ruby, Java, .NET), backend frameworks (Express, Django, Flask, Rails, Laravel, Spring, ASP.NET), databases (Postgres, MySQL, Mongo, Redis), CMS (WordPress, Drupal, Magento), and API surfaces (REST, GraphQL, OpenAPI).
Signals (input)
- HTTP response headers —
Server,X-Powered-By,X-AspNet-Version,X-Drupal-*,X-Generator, etc. - Cookies — session-name fingerprints (
PHPSESSID,JSESSIONID,_rails_session, ...) - Error page bodies (404, 500)
- Path patterns hinting CMS (
/wp-admin/,/sites/default/) - API subdomains and OpenAPI/Swagger/GraphQL endpoints
robots.txtdirectives
Inferences (output)
- Web server + version
- Runtime / language + version
- Backend framework (with implied runtime)
- CMS + version
- Database (often indirect — via ORM dependency or hosted-DB DNS)
- API style (REST/GraphQL/gRPC) and authentication scheme
Techniques
When to use
- Phase 2/3 of a tech-stack OSINT engagement
- Mapping server-side attack surface (RCE, SSRF, deserialization)
- CVE matching by server + version
- Locating GraphQL / OpenAPI for follow-on api-security testing
Files
2- SKILL.md
2cd4ea44301.5 KB - reference/patterns.md
1b550e6e4c5.0 KB
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