plankton - Command-line web vulnerability scanner that runs t

项目说明

plankton

A command-line web scanner. Runs a set of checks mapped to the
OWASP Top 10 (2021) against a target URL and produces a colorful terminal
output and a styled HTML report.

: 1

Features

OWASP Top 10 co

| Code | Category | Check name(s) |
|------|-----------------------------------------|----------------------------------|
| A01 | Broken Access Control | access, redirect |
| A02 | Cryptographic Failures | crypto |
| A03 | Injection | sqli, xss, cmdi, lfi |
| A04 | Insecure Design | not testable remotely |
| A05 | Security Misconfiguration | misconfig |
| A06 | and Outdated Components | components |
| A07 | Identification and Authentication | auth |
| A08 | Software and Data Integrity Failures | integrity |
| A09 | Security Logging and Monitoring | not testable remotely |
| A10 | Ser Request Forgery | ssrf |

Install

Python 3.9+.

Usage

Options:

If -o is omitted, the report is written to:

Examples

Output

Terminal. Purple banner, green step markers, cyan info lines, and
se tags on each finding. A boxed summary panel at the end shows
duration and counts by se.

HTML report. Dark theme, gradient header, KPI cards for Total / Critical /
High / Medium / Low, and one card per finding with OWASP code, se pill,
URL, e, and fix. Open in any browser.

JSON report. Machine-readable, includes target, , owasp,
duration_seconds, generated_at, summary, and the full findings list.

Text report. Boxed header with metadata and counts, followed by one section
per finding.

Exit codes

Legal

Only scan systems you own or ha permission to test.

License

MIT. See LICENSE.

项目信息

开发语言：Python

Star 数：22

技术要点

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Command-line web vulnerability scanner that runs the OWASP Top 10 (2021) against a target URL. Colorful terminal output and a styled HTML report.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。

使用与学习建议

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。

免责声明

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。