Offensive Security for Incident Response
Ethical hacking tools and resources for penetration testing and red team operations. Task: Incident Response
Explore 6 curated tools and resources
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A penetration testing framework for identifying and exploiting vulnerabilities.
A modular, menu-driven tool for building repeatable, time-delayed, distributed security events.
A set of YARA rules for identifying files containing sensitive information
A tool to remove malicious artifacts from Microsoft Office documents, preventing malware infections and data breaches.
A powerful tool for hiding the true location of your Teamserver, evading detection from Incident Response, redirecting users, blocking specific IP addresses, and managing Malleable C2 traffic in Red Team engagements.
Using Apache mod_rewrite rules to rewrite incident responder or security appliance requests to an innocuous website or the target's real website.
PINNED
InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Commercial
Resources
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.
Free
Security Operations
Mandos Brief Newsletter
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
Free
Blogs and News
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.
Commercial
Cloud Security
RoboShadow
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
Commercial
Vulnerability Management
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.
Commercial
AI Security