Automatic SSRF fuzzer and exploitation tool SSRFmap is a tool designed to automatically identify and exploit Server-Side Request Forgery (SSRF) vulnerabilities in web applications. It uses a combination of techniques to identify potential SSRF vulnerabilities and exploit them to gain access to internal systems or data. SSRFmap is a powerful tool that can help security researchers and penetration testers identify and exploit SSRF vulnerabilities, but it should be used responsibly and only for legal and ethical purposes.
A C++ staged shellcode loader with evasion capabilities, compatible with Sliver and other shellcode sources, designed for offensive security testing.
A structured approach for conducting penetration tests with seven main sections covering all aspects of the test.
Insights on Red Teaming for Pacific Rim CCDC 2016 competition, focusing on preparation, operations plan, and automation.
A customized Kali Linux distribution for ICS/SCADA pentesting professionals
A collection of payloads and methodologies for web pentesting.
A script to enumerate Google Storage buckets and determine access and privilege escalation
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
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.
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
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.