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is a Python-based web application security testing toolkit for authorised assessments. It runs a set of focused checks against a target URL, collects findings, and exports reports in JSON, TXT, and HTML formats.
> Warning: use only on systems you own or ha written permission to test. Unauthorised scanning or exploitation is illegal.
| Module | Purpose |
| --- | --- |
| recon | Basic reconnaissance and information gathering |
| sqli | SQL injection checks |
| xss | Reflected and DOM XSS checks |
| auth | Authentication bypass and default credential checks |
| idor | Insecure direct object reference checks |
| crawl | Scoped crawling, form discovery, and wordlist path discovery |
| tools | Optional external tool integrations, disabled unless --external-tools is set |
| upload | Unrestricted file upload checks |
| lfi | Local and remote file inclusion checks |
| ssrf | Ser request forgery checks |
| xxe | XML external entity checks |
| ssti | Ser template injection checks |
| nosql | NoSQL injection checks |
| cors | CORS misconfiguration checks |
| csrf | Missing CSRF protection checks |
| jwt | JWT misconfiguration checks |
| waf | WAF detection checks |
| ratelimit | Rate-limit weakness checks |
| desync | HTTP request smuggling checks |
| race | Race condition checks |
| websocket | WebSocket security checks |
| graphql | GraphQL introspection and injection checks |
| 2fa | Two-factor authentication bypass checks |
| captcha | CAPTCHA-related weakness checks |
PATH: nmap, nikto, whatweb, wafw00f, sqlmap, or zap-baseline.pyOn Windows PowerShell:
On macOS/Linux:
Run all modules:
Run selected modules:
Use the aggressi for deeper, slower non-destructi:
Send traffic through a proxy:
Use cookies and custom headers:
Generate only one report format:
Map pages and disco with a custom wordlist:
Run optional external integrations:
Display the built-in help:
| Option | Description |
| --- | --- |
| -h, --help | Show the built-in CLI help and exit |
| target | Target URL, including http:// or https:// |
| --profile | Scan intensity: safe by default, or aggressive for deeper checks |
| --modules | Modules to run, or all for every module |
| --output | Output directory for generated reports |
| --threads | Number of worker threads exposed in settings |
| --timeout | Request timeout in seconds |
| --proxy | HTTP/HTTPS proxy URL |
| --cookies | Cookies in name=value; name2= format |
| --headers | Headers in Header:Value,Header2: format |
| --auth | Basic auth credentials in user:pass format |
| --wordlist | Custom wordlist path for modules that support it |
| --crawl-depth | Maximum in-scope crawl depth |
| --max-pages | Maximum number of pages to crawl |
| --external-tools | Permit the tools module to execute installed external commands |
| --tools | Comma-separated external tool list |
| --tool-timeout | Timeout for each external tool command |
| --delay | Delay between requests in seconds |
| --no-soft-404-filter | Disable custom 404 and fallback-page filtering |
| --, -v | Enable output |
| --no-banner | Hide the startup banner |
| --report-format | json, txt, html, or all |
Reports are written to the reports/ directory by default. Generated report files are intentionally ignored by Git so scan output does not get committed accidentally. Reports include an executi, scope, risk rating, recommended next steps, findings with reproduction guidance, a non-sensitive scan configuration summary, and metadata such as crawled pages, forms, discovered paths, and external tool execution status.
| Format | Use case |
| --- | --- |
| JSON | Machine-readable output for automation and later processing |
| TXT | Plain-text summary for quick review |
| HTML | Browser-friendly report for sharing findings internally |
1. Create a new file in modules/, for example modules/mycheck.py.
2. Inherit from BaseModule.
3. Set NAME and DESCRIPTION.
4. Implement run(self).
5. Register the module in MODULE_MAP inside core/engine.py.
6. Add the module name to the CLI choices list in main.py.
Example:
is provided for authorised security testing, education, and controlled lab use. You are responsible for ensuring that every target you test is in scope and that you ha to assess it.
开发语言:Python
Star 数:17
该项目属于安全软件方向的开源资源,代码结构清晰,适合安全研究人员学习参考。项目围绕Advanced web application penetration testing framework with modular vulnerability scanners, customizable scan options and JSON/TXT/HTML reporting 展开,提供了可运行的实现,对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。
从技术实现角度看,此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论,梳理项目的初始化流程、核心模块职责与数据流转,逐步掌握其中的技术细节与设计思路。
1. 下载源码压缩包,解压到本地环境。
2. 根据项目类型准备对应的运行环境与依赖。
3. 按照 README 中的步骤完成配置与部署。
4. 在隔离的测试环境中运行验证,避免影响生产系统。
本资源来源于开源社区,仅供安全研究、技术学习与合法授权范围内的攻防演练使用,请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。
| 资源标题 | Vulxor - Advanced web application penetration testing frame |
| 所属分类 | 安全软件 |
| 发布作者 | admin |
| 发布时间 | 2026-10-05 22:55:57 |
| 下载权限 | 免费下载 |
| 附件数量 | 2 个下载链接 |
| 浏览次数 | 455 |
| 讨论数量 | 0 |
| 主题状态 | 正常讨论中 |