# admintony/svnExploit

SvnExploit支持SVN源代码泄露全版本Dump源码

Repository: https://github.com/admintony/svnExploit
Canonical: https://ross.abutalabs.com/products/svnexploit
Language: Python
License Family: other
Last push: 2022-12-20T09:22:50+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": 3130, "days_push": 1352, "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 1029, forks 171 (observed 2026-08-28T04:03:17.573115+00:00)

## What it is
SvnExploit is a Python CLI tool that exploits SVN source code disclosure vulnerabilities, supporting both SVN <1.7 and >1.7 repository formats. It detects exposed .svn directories on web servers and dumps the full source code from them.

## Use cases
- detect svn source code leakage on a website
- dump source code from exposed .svn directory
- exploit svn 1.7 source disclosure vulnerability
- recover source code from leaked svn metadata
- test web server for svn information disclosure

## When to choose
- you need to dump source code from exposed .svn directories across all SVN versions
- you are doing a penetration test and want to check for SVN source disclosure

## When to avoid
- you need a general-purpose web vulnerability scanner
- you want actively maintained software with a license and recent updates

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: security, vulnerability-scanning, web-scraping, cli
- domain: security, penetration-testing, developer-tools
- platform: python, cli, cross-platform
- tags: svn, source-code-disclosure, pentest, exploitation-tool, offensive-security

## Member repositories
- admintony/svnExploit (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:17.573115+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 2026-08-30T07:07:38.052918+00:00, confidence not recorded.
  - readme: https://github.com/admintony/svnExploit (fetched 2026-08-28T04:03:17.573115+00:00, sha fe016d78b314)
- Data as of 2026-08-30T08:39:29.467469+00:00.