# DanMcInerney/xsscrapy

XSS spider - 66/66 wavsep XSS detected

Repository: https://github.com/DanMcInerney/xsscrapy
Canonical: https://ross.abutalabs.com/products/xsscrapy
Language: Python
License Family: other
Last push: 2024-06-13T06:17:02+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4454, "days_push": 811, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1747, forks 448 (observed 2026-08-28T04:05:30.819903+00:00)

## What it is
A Python-based spider built on Scrapy that crawls a website and tests every link it finds for cross-site scripting (XSS) and basic SQL injection vulnerabilities. It supports login, HTTP Basic Auth, cookies, connection limits, and rate limiting, reporting findings to a text file.

## Use cases
- scan a website for xss vulnerabilities
- crawl a site and detect sql injection errors
- test forms and url parameters for reflected xss
- authenticated vulnerability scanning with login or cookies
- rate-limited security spidering of a web app

## When to choose
- you want a fast, automated XSS scanner for a web application
- you need a spider that also catches basic SQLi error-based issues
- you want a simple CLI tool with login/cookie support for scanning

## When to avoid
- you need blind SQL injection detection or broad vulnerability coverage beyond XSS/SQLi
- you need an actively maintained tool with a license and modern support
- you need a GUI or CI-integrated DAST platform

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: web-scraping, penetration-testing, vulnerability-scanning
- domain: security, penetration-testing, web-development
- platform: python, cli
- tags: xss, sql-injection, spider, crawler, security-scanner, scrapy, linux, macos

## Member repositories
- DanMcInerney/xsscrapy (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:30.819903+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:29:01.609526+00:00, confidence not recorded.
  - readme: https://github.com/DanMcInerney/xsscrapy (fetched 2026-08-28T04:05:30.819903+00:00, sha 40b7e8dc589e)
- Data as of 2026-08-30T08:39:29.467469+00:00.