Offensive Security
Ethical hacking tools and resources for penetration testing and red team operations.
Explore 274 curated tools and resources
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A Live CD and Live USB for penetration testing and security assessment
A tool for interacting with the MSBuild API, enabling malicious activities and evading detection.
A C/C++ tool for remote process injection, supporting x64 and x86 operations, with system call macros generated by SysWhispers script.
Offensive security tool for reconnaissance and information gathering with a wide range of features and future roadmap.
MiniCPS is a framework for Cyber-Physical Systems real-time simulation with support for physical process and control devices simulation, and network emulation.
Ivy is a payload creation framework for executing arbitrary VBA source code directly in memory, utilizing programmatical access to load, decrypt, and execute shellcode.
A tool for working with Direct System Calls in Cobalt Strike's Beacon Object Files (BOF) for offensive security purposes.
Comprehensive tutorial on modern exploitation techniques with a focus on understanding exploitation from scratch.
A VM for mobile application security testing, Android and iOS applications, with custom-made tools and scripts.
A collection of precompiled Windows exploits for privilege escalation.
Participation in the Red Team for Pacific Rim CCDC 2017 with insights on infrastructure design and competition tips.
Open-source project for building instrumented environments to simulate attacks and test detections.
Adversary emulation framework for testing security measures in network environments.
A COM Command & Control framework using JScript for stealthy and flexible command and control capabilities on Windows systems.
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Wiz
Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
Adversa AI
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.