zaproxy 开源项目推荐（51 个）

zaproxy /zaproxy

Checkmarx 的 ZAP Core 项目

secureCodeBox /secureCodeBox

secureCodeBox（SCB）——开箱即用的持续安全传输

zaproxy /zap-extensions

ZAP Add-ons

zaproxy /community-scripts

A collection of ZAP scripts and tips provided by the community - pull requests very welcome!

kac89 /vulnrepo

VULNRΞPO - 免费漏洞报告生成器和仓库，端到端加密！问题模板，CWE、CVE、MITRE ATT&CK、PCI DSS，导入Nmap/Nessus/Burp/OpenVAS/Bugcrowd/Trivy，Jira导出，TXT/JSON/MARKDOWN/HTML/DOCX，附件，自动更新日志，统计数据，漏洞管理，bugbounty，本地AI/LLM，超高速渗透测试报告！

SasanLabs /VulnerableApp

OWASP VulnerableApp Project: Break it. Scan it. Reproduce it. Benchmark against it. Improve it.

xer0times /BugBounty

Bug Bounty stuffs, payloads, scripts, profiles, tips and tricks, ...

sepehrdaddev /zap-scripts

Zed Attack Proxy Scripts for finding CVEs and Secrets.

hahwul /mzap

⚡️ Multiple target ZAP Scanning

zaproxy /zaproxy-website

The source of ZAP website

SasanLabs /owasp-zap-jwt-addon

OWASP ZAP addon for finding vulnerabilities in JWT Implementations

brimstone /docker-kali

A Docker image for bits of Kali Linux

ZFPSystems /zaproxy-automation

This is a collection of ZAProxy Automation Tools and scripts to automate security tests of WEB Applications and WEB Sites

SasanLabs /owasp-zap-fileupload-addon

OWASP ZAP add-on for finding vulnerabilities in File Upload functionality.

gdgd009xcd /RequestRecorder

A ZAPROXY Add-on that allows testing of web application vulnerabilities by recording complex multi-step sequences. You can test applications that need to access pages in a specific order, such as shopping carts or registration of member information.

gdgd009xcd /CustomActiveScanForZAP

a ZAPROXY Addon ActiveScan for detecting SQL injection with more better way.

zaproxy /fuzzdb-offensive

ZAP add-on containing the web-backdoors and attack files from FuzzDB

TypeError /reflect

OWASP ZAP add-on to detect reflected parameter vulnerabilities efficiently

kingthorin /neonmarker

Continuation of the ZAP Neonmarker add-on previously by Juha Kivekäs

Pratham-verma /Web_Application_Firewall

This project presents a powerful Web Application Firewall (WAF) designed to protects web applications from malicious activities. By leveraging machine learning algorithms, the WAF efficiently filters and detects potentially harmful requests before they reach the website, ensuring robust security.