Projects sharing features with Vulfocus

sqli-labs is a collection of intentionally vulnerable web applications and sandbox environments designed for practicing the identification and exploitation of SQL injection vulnerabilities. It serves as a cybersecurity education lab where users can experiment with database exploits in a controlled setting. The environment provides specialized modules for testing a wide range of attack vectors, including error-based, boolean-blind, and time-based injections. It specifically covers advanced techniques such as second-order injections, stacked queries, and attacks targeting HTTP headers. The pro

DVWA is a vulnerable web application lab and penetration testing sandbox designed to simulate common security flaws. It serves as a training platform for the OWASP Top 10 security risks and functions as a PHP and MySQL security lab for practicing the identification and exploitation of web vulnerabilities. The project provides a graduated learning experience through configurable security levels that adjust the difficulty of the vulnerabilities. It also supports switching between different database engines to research how various storage systems respond to injection attacks. The application is

AWSGoat : A Damn Vulnerable AWS Infrastructure

☕️ Java Security，安全编码和代码审计

SpringBootVulExploit is a collection of scanning and auditing tools designed to identify vulnerabilities, information leaks, and execution vectors within Java-based application frameworks, specifically targeting Spring Boot applications. It provides a suite of exploit techniques, payloads, and security checklists for performing vulnerability analysis. The project features capabilities for triggering remote code execution through injection vectors, deserialization payloads, and malicious configuration files. It includes a scanner for detecting exposed environment variables and internal routing

FastJson全版本Docker漏洞环境(涵盖1.2.47/1.2.68/1.2.80等版本)，主要包括JNDI注入及高版本绕过、waf绕过、文件读写、原生反序列化、利用链探测绕过、不出网利用等。从黑盒的角度覆盖FastJson深入利用

Kubernetes Goat is a security training environment designed for practicing the identification and exploitation of common vulnerabilities within an intentionally insecure cluster. It provides a controlled setting to simulate system exploitations, including container escapes, role misconfigurations, and server-side requests. The project utilizes scenario-based vulnerability deployment to create specific security flaws. It includes utilities for environment management that allow the cluster to be restored to a clean baseline by removing vulnerable scenarios, service accounts, and role bindings.

CloudGoat is Rhino Security Labs' "Vulnerable by Design" AWS deployment tool

Vulhub is a collection of pre-configured, containerized applications designed to serve as a standardized platform for security research, vulnerability testing, and educational exploitation exercises. It functions as an orchestration framework that enables users to deploy isolated software environments for the purpose of practicing penetration testing and analyzing common security flaws in a controlled setting. The project utilizes an infrastructure-as-code pattern to define complex, multi-service software stacks, ensuring that testing targets remain consistent and reproducible. By leveraging

WebGoat is a deliberately insecure web application designed as an interactive security lab for learning how to identify and exploit common web vulnerabilities. It serves as a containerized sandbox that allows for the simulation and experimentation of web-based attacks and penetration testing techniques without risking production systems. The project functions as a learning lab that maps specific insecure coding patterns to structured lessons. It implements simulated server-side flaws to provide a hands-on environment for studying common security vulnerabilities and defensive coding practices.

使用docker快速搭建各大漏洞靶场，目前可以一键搭建17个靶场。

A deliberately vulnerable CI/CD environment. Learn CI/CD security through multiple challenges.

BadBlood by @davidprowe, Secframe.com, fills a Microsoft Active Directory Domain with a structure and thousands of objects. The output of the tool is a domain similar to a domain in the real world. After BadBlood is ran on a domain, security analysts and engineers can practice using tools to gain an understanding and prescribe to securing Active Directory. Each time this tool runs, it produces different results. The domain, users, groups, computers and permissions are different. Every. Single. Time.