Penetration Testing

PentestGPT is an autonomous security testing framework that leverages large language models to plan, execute, and coordinate end-to-end penetration testing engagements. By functioning as an autonomous agent, the system automates the entire testing lifecycle, from initial reconnaissance and vulnerability analysis to the generation of custom exploits and the execution of post-exploitation tasks. The platform distinguishes itself through a multi-agent orchestration system that coordinates specialized AI agents to collaborate on complex, multi-stage attack chains. It integrates multimodal context, synthesizing both visual and textual data to inform its decision-making process. To ensure consistency and continuity, the framework maintains persistent session state, allowing users to pause and resume assessments without losing critical context or progress. The system provides a comprehensive suite of capabilities for managing external security utilities, including the ability to parse raw command-line output into structured data for automated analysis. It operates within isolated, containerized environments to ensure that testing workflows remain reproducible and secure across diverse target architectures.

This project is a comprehensive cybersecurity tool collection designed to support security research, penetration testing, and vulnerability assessment. It functions as a unified penetration testing suite, providing a centralized environment where professionals can access a wide range of offensive security utilities to identify system weaknesses and study attack vectors. The platform distinguishes itself through a modular architecture that aggregates disparate security scripts into a single, hierarchical command-line interface. It simplifies the management of these utilities by integrating external repositories, allowing users to fetch and organize third-party tools directly into a structured local directory. By utilizing a categorized menu system and shell-based process execution, the suite enables efficient navigation and direct invocation of specialized tools for tasks ranging from forensic analysis and reverse engineering to exploit development. The toolkit covers a broad spectrum of security domains, including web and wireless attack vectors, cloud security, payload creation, and social media analysis. It also incorporates automated environment setup to handle the installation of necessary system packages and language runtimes, ensuring compatibility across its diverse collection of utilities.

The framework is a comprehensive penetration testing platform designed for the development, testing, and execution of security exploits. It serves as a research toolkit and automated assessment environment, enabling security professionals to identify and validate vulnerabilities within networked systems and infrastructure through repeatable, standardized procedures. The platform distinguishes itself through a modular architecture that supports reflective payload injection, allowing for the execution of code directly in memory without writing to disk. It utilizes an asynchronous event loop to manage high-performance, concurrent network connections and features a transport-agnostic communication layer that abstracts protocols to maintain persistent command and control. Users can extend the core functionality through a plugin system and define complex exploit logic using a domain-specific language. The framework provides robust capabilities for remote payload management, including the configuration of network settings like sleep intervals and timeout thresholds. It maintains state persistence across long-running sessions by storing discovered host information and vulnerability data in a relational database. The software is designed for cross-platform deployment, with installation support available for Linux, macOS, and Windows environments.

Routersploit is a penetration testing framework designed for the security assessment of embedded network devices and routers. It functions as a comprehensive tool for auditing hardware configurations and testing network protocols to identify and verify security vulnerabilities. The framework utilizes a modular plugin architecture that allows for the dynamic loading of exploit and scanner modules. It provides a centralized command interface that manages target state and executes controlled payloads, enabling the automation of security testing across diverse network hardware. The platform covers a broad range of capabilities, including the identification of network weaknesses and the execution of protocol-specific payload injections. It employs asynchronous scanning and pattern-based response parsing to analyze active services and firmware configurations for potential security risks.

Zphisher is a security testing framework designed for conducting authorized social engineering assessments and penetration testing. It functions as a credential harvesting simulator that enables security professionals to evaluate organizational defenses and user awareness by deploying deceptive login interfaces. The platform automates the creation of realistic web pages through dynamic template rendering and provides tools to mask destination addresses. It integrates reverse proxy tunneling to expose local testing services to the public internet, allowing for remote access during security audits without requiring modifications to network firewall configurations. The tool supports the simulation of credential harvesting attacks to measure vulnerability within authentication workflows. It is packaged to ensure consistent execution across different host environments, facilitating the deployment of controlled testing infrastructure for security awareness training.

BeEF is a modular security testing environment designed for browser exploitation and web application auditing. It functions as a platform for security professionals to evaluate client-side defenses by injecting persistent scripts into web browsers, establishing a bidirectional communication channel for remote command execution and data exfiltration. The framework distinguishes itself through its ability to use compromised browser sessions as proxies to conduct internal network reconnaissance, effectively bypassing perimeter security controls. It utilizes an event-driven control interface and asynchronous command queuing to manage multiple hooked sessions, allowing for the coordination of complex, multi-stage assessment workflows. The system supports a modular architecture that enables the development of custom plugins and automated rules to extend its core testing capabilities. It includes comprehensive administrative controls, such as role-based access control, authentication rate limiting, and network access restrictions, to secure the testing environment and manage component lifecycles.

Evilginx2 is a man-in-the-middle phishing framework designed to proxy authentication traffic between a user and a target web service. By acting as a reverse proxy, the tool intercepts and relays web requests to capture credentials and session tokens in real time, enabling the bypass of multi-factor authentication mechanisms through session cookie hijacking. The platform distinguishes itself by integrating infrastructure orchestration with modular template-driven content injection. It automates the deployment of proxy servers, manages the lifecycle of encryption certificates, and applies content obfuscation to evade detection by security filters. These capabilities allow for the simulation of sophisticated phishing attacks and the assessment of organizational resilience against credential harvesting. The project includes comprehensive traffic management features, such as heuristic bot filtering, to protect the integrity of captured data from automated security scanners. It also provides a unified workflow for managing phishing campaigns, including the coordination of email delivery and the tracking of user interactions. The software is distributed as a command-line tool that handles the end-to-end configuration of network settings and domain resolution.

Bettercap is a modular framework designed for network reconnaissance, security testing, and the execution of man-in-the-middle attacks. It functions as a comprehensive utility for surveying wired and wireless network segments, identifying connected devices, and analyzing communication protocols through real-time traffic interception and manipulation. The platform distinguishes itself through an event-driven architecture that coordinates network state changes and packet-level data through a centralized message pipeline. It provides a programmable scripting engine and an API for orchestrating security workflows, allowing users to automate reconnaissance tasks, trigger custom protocol injections, and perform credential harvesting from intercepted traffic streams. Beyond its core interception capabilities, the tool includes specialized modules for wireless peripheral security testing and the hijacking of human interface devices. It maintains stateful session tracking to correlate fragmented traffic into coherent streams, supporting complex analysis across diverse hardware environments. The software is distributed with support for containerized deployment to ensure consistent execution across different host systems.

Wifiphisher is a modular security framework designed for wireless penetration testing and social engineering auditing. It functions as a platform for security professionals to assess the resilience of Wi-Fi networks by simulating unauthorized access, performing man-in-the-middle interceptions, and executing credential-harvesting scenarios. The tool distinguishes itself through its ability to combine rogue access point deployment with dynamic phishing interfaces. By forcing wireless clients to associate with deceptive infrastructure, the framework can capture network metadata and inject it into personalized web templates in real time. This process is supported by low-level wireless control, including packet injection and deauthentication-based client steering, which allows the system to maintain a position between the target and the network. The framework provides extensive capabilities for traffic management and operational automation. It includes mechanisms for bridging client traffic to maintain internet connectivity during interception, as well as a modular extension system that allows users to execute custom Python scripts. These scripts can be used to automate complex attack workflows, enhance phishing scenarios, or integrate external tools during active security assessments.

Sliver is a command and control framework designed for adversary emulation and security assessment operations. It provides a centralized platform for managing remote systems, enabling security professionals to coordinate multi-operator sessions and maintain persistent, secure communication channels across diverse network environments. The framework distinguishes itself through its focus on stealth and infrastructure flexibility. It utilizes dynamic payload obfuscation to generate unique binaries and supports in-memory execution to minimize disk artifacts. Communication is secured through mutual TLS, WireGuard, and other standard protocols, while an asynchronous task queue ensures reliable command delivery even across intermittent network connections. Beyond its core communication capabilities, the platform supports a wide range of post-exploitation tasks, including process manipulation, token management, and network pivoting. Users can automate complex security workflows and route traffic through compromised nodes to reach isolated network segments, facilitating comprehensive testing of organizational security controls.

TheFatRat is a security exploitation framework designed to automate the creation, obfuscation, and deployment of payloads for penetration testing. It functions as a comprehensive toolkit that streamlines the exploitation lifecycle, enabling users to generate malicious executables, manage network listeners, and execute post-exploitation tasks through a unified command-line interface. The framework distinguishes itself by integrating various third-party exploitation utilities into a single, orchestrated workflow. It provides specialized capabilities for embedding code into legitimate binaries and modifying file metadata to test system resilience against signature-based detection. Additionally, the tool supports physical security assessments by generating autorun configurations for removable media to evaluate automated execution behaviors on target systems. Beyond core payload generation, the platform includes utilities for environment dependency validation to ensure all necessary components are configured correctly before testing begins. It also automates post-compromise actions, such as information gathering and credential extraction, to facilitate efficient security audits.

This project is an automated security testing suite designed to detect and exploit database vulnerabilities. It functions as a command-line utility that streamlines the identification, verification, and exploitation of web application flaws by automating the injection of malicious payloads into input parameters. The tool provides a comprehensive framework for database enumeration, allowing users to extract schema information, user data, and system configurations from identified injection points. What distinguishes this tool is its sophisticated engine for dynamic payload adaptation and heuristic fingerprinting, which adjusts injection techniques in real-time based on server responses. It supports advanced post-exploitation capabilities, including remote command execution on the underlying host operating system and file system access through database-level vulnerabilities. To navigate restricted environments, the software incorporates out-of-band data exfiltration channels and a middleware pipeline for applying user-defined transformations to bypass security filters and web application firewalls. The suite covers a broad range of operational requirements, including stateful session management, anti-CSRF token handling, and extensive request customization. It supports various target specification methods, such as proxy log analysis and remote API management, while offering granular control over scan performance and detection thresholds. The software is distributed as a command-line application, with configuration management supported through external file loading and command-line arguments.

PowerSploit is a collection of PowerShell modules designed for security assessment, penetration testing, and red team operations. It provides a framework for auditing Windows system configurations and evaluating the effectiveness of security defenses within an enterprise environment. The framework focuses on techniques that leverage native system administration tools and scripting environments to perform operations. It includes capabilities for executing arbitrary commands, escalating user privileges, and maintaining system persistence through event subscriptions. By utilizing in-memory execution and reflective loading, the modules allow for the operation of payloads without writing files to the disk, assisting in the simulation of advanced adversary behavior. Beyond core exploitation tasks, the project supports network reconnaissance and the modification of existing scripts to test system responses. These tools are intended for authorized security assessments and the hardening of individual workstations against potential vulnerabilities.

Strix is an automated security research and vulnerability scanning platform that leverages language models to orchestrate complex security analysis tasks. It functions as a comprehensive framework for penetration testing and continuous security integration, allowing users to embed automated vulnerability research directly into development pipelines or execute it within isolated, containerized environments. The platform distinguishes itself through a multi-agent orchestration engine that coordinates specialized autonomous agents to perform parallel security assessments. By integrating LLM-agnostic routing, it supports a wide range of local and cloud-based model providers, enabling users to tailor analysis depth and reasoning capabilities to their specific security requirements. This orchestration is complemented by the ability to inject structured knowledge packages into agents, allowing for highly targeted vulnerability research and customized testing methodologies. The system provides a broad capability surface that combines static code analysis with dynamic runtime testing. It includes integrated headless browser automation for simulating user behavior, proxy-based traffic interception for inspecting and replaying network communication, and infrastructure mapping tools for reconnaissance. These features are unified within a sandboxed environment that supports custom script execution, terminal access, and real-time telemetry export for auditing and reporting. The project is designed for integration into existing development workflows, offering features like incremental codebase analysis, secret detection, and pipeline-native exit code reporting. It provides a centralized interface for managing scan intensity, authenticated testing, and the generation of structured security reports with proof-of-concept evidence.

PEASS-ng is an automated penetration testing framework designed to identify privilege escalation vectors on local systems. It functions as a security assessment utility that scans environments for misconfigurations, sensitive files, and insecure permissions to uncover paths for unauthorized privilege elevation. The project distinguishes itself through a modular script-based enumeration engine that adapts to the target environment. It utilizes environment-aware capability detection and cross-platform shell abstraction to normalize data collection across diverse operating systems, while operating primarily within volatile memory to minimize its forensic footprint. The framework covers a broad range of post-exploitation assessment tasks, including automated security auditing for both Linux and Windows environments. It employs pattern-matching heuristic analysis to systematically query system configurations and identify security gaps during authorized security assessments.

Fscan is an automated penetration testing tool designed for internal network reconnaissance and vulnerability assessment. It functions as a comprehensive security framework that maps network infrastructure, identifies active hosts and services, and detects security weaknesses across internal environments. The tool distinguishes itself through a modular plugin architecture that allows for extensible security checks and a stateful asset tracking system that maintains an in-memory registry of discovered infrastructure. It incorporates a dedicated credential brute-force engine for testing password strength and supports proxy-aware traffic routing to facilitate operations within segmented or restricted network segments. Beyond core discovery, the platform provides capabilities for post-exploitation security operations, including system information collection and remote access management. Users can control scan performance through configurable concurrency and rate limits, with options to manage tasks via both command-line execution and a graphical web interface.