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A framework for exploiting Android-based devices and applications
The best security training environment for Developers and AppSec Professionals.
A security dataset and CTF platform with full and attack-only versions pre-indexed for Splunk.
A book that helps improve Docker security by covering risks and countermeasures
A credit card/magstripe spoofer that can emulate any magnetic stripe or credit card wirelessly.
A comprehensive guide to digital forensics and incident response, covering incident response frameworks, digital forensic techniques, and threat intelligence.
Online platform for image steganography analysis
Orchestration toolchain for scanning source code and infrastructure IaC against security risks.
Magnet ACQUIRE offers robust data extraction capabilities for digital forensics investigations, supporting a wide range of devices.
A serverless application for creating and monitoring URL tokens with threat intelligence and customizable alerts.
A Windows Kernel driver intentionally vulnerable to help improve skills in kernel-level exploitation.
CRITs is an open source malware and threat repository for collaborative threat defense and analysis.
Ropper is a tool for analyzing binary files and searching for gadgets to build rop chains for different architectures.
Intezer is a cloud-based malware analysis platform that detects and classifies malware using genetic code analysis.
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.
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.