Yara4Pentesters
Yara4Pentesters is a set of YARA rules designed to identify files containing juicy information like usernames, passwords, etc. It is a powerful tool for searching and identifying files containing sensitive information. This tool is useful for forensic analysis, incident response, and penetration testing. The rules are designed to be used with the YARA engine and can be used to search for files containing sensitive information such as usernames, passwords, credit card numbers, and more. The tool is also useful for searching for files containing specific tags or keywords. The tool is available for download and can be used with the YARA engine. References: https://www.cgsecurity.org/wiki/File_Formats_Recovered_By_PhotoRec
FEATURES
ALTERNATIVES
A free, safe, and legal training ground for ethical hackers to test and expand their skills
A powerful enumeration tool for discovering assets and subdomains.
Darkarmour is a Windows AV evasion tool that helps bypass antivirus software, allowing for the creation of undetectable malware.
A C2 profile generator for Cobalt Strike designed to enhance evasion.
A week-long series of articles and talks on evading Microsoft Advanced Threat Analytics (ATA) detection
Offensive security tool for reconnaissance and information gathering with a wide range of features and future roadmap.
PINNED
Fabric Platform by BlackStork
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.
Mandos Brief Newsletter
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
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.