Covert Red Team Attack Infrastructure
Covert red team attack infrastructure is the back-end component used for red team operations, encompassing domains, redirectors, SMTP servers, and payload hosting servers. Design considerations and thought process behind the infrastructure are crucial for effective operations.
FEATURES
ALTERNATIVES
Performs network mapping of attack surfaces and external asset discovery using open source information gathering and active reconnaissance techniques.
CredMaster enhances password spraying tactics with IP rotation to maintain anonymity and efficiency.
A lightweight, first-stage C2 implant written in Nim for remote access and control.
A powerful tool for extracting passwords and performing various Windows security operations.
A tool for security researchers and penetration testers to automate the process of finding sensitive information on a target domain.
A collection of tips and tricks for container and container orchestration hacking
PINNED
InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
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.
RoboShadow
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
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.