Hashcat Cheatsheet is a comprehensive guide to using Hashcat for password cracking. It provides examples of how to crack various types of hashes, including Linux, Windows, and application-specific hashes. The guide also covers advanced topics such as using rules, bruteforcing, and cracking hashes from packet captures.
Enhance the security and privacy of Apple silicon Mac computers with incremental changes and user capability.
A comprehensive guide to incident response, providing effective techniques for responding to advanced attacks against local and remote network resources.
A workshop on hacking Bluetooth Smart locks, covering architecture, vulnerabilities, and exploitation techniques.
Comprehensive cheat sheet for SQLite SQL injection techniques and payloads.
A comprehensive guide to developing an incident response capability through intelligence-based threat hunting, covering theoretical concepts and real-life scenarios.
A comprehensive and immersive 13-week course by NYU Tandon's OSIRIS Lab introducing students to offensive security with practical applications and research projects.
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.