Security tools and resources tailored for specific industries or unique security challenges.
Explore 81 curated tools and resources
A platform for creating and managing fake phishing campaigns to raise awareness and train users to identify suspicious emails.
Tools and documentation for validating hardware security requirements on x86 platforms, including bootable USB key creation and platform configuration verification.
A security testing framework for Android with tools to search for vulnerabilities and interact with the Android Runtime.
An Outlook add-in for reporting suspicious emails to security teams and tracking user behavior during awareness campaigns.
StaDynA is a system supporting security app analysis in the presence of dynamic code update features.
MARA is a Mobile Application Reverse engineering and Analysis Framework with various features for testing mobile applications against OWASP mobile security threats.
Semi-tethered jailbreak for iPhone 5s to iPhone X, running iOS 12.0 and up, using the 'checkm8' bootrom exploit.
Detect and warn about potential malicious behaviors in Android applications through static analysis.
Runtime Mobile Security (RMS) is a powerful web interface powered by FRIDA for manipulating Android and iOS Apps at Runtime.
Python tool for monitoring user-select APIs in Android apps using Frida.
A project providing a low-cost ICS testbed with affordable hardware, instructions, and attacker scenarios to facilitate learning in industrial security.
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.
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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.