A collection of android security related resources A curated list of Android security related resources, including tools, tutorials, and more.
FEATURES
ALTERNATIVES
A series of levels teaching about common mistakes and gotchas when using Amazon Web Services (AWS).
ThreatLocker is an enterprise cybersecurity platform that provides comprehensive endpoint protection and zero-trust security to prevent ransomware, viruses, and other malicious software from running on endpoints.
FlowDroid is a context-, flow-, field-, object-sensitive and lifecycle-aware static taint analysis tool for Android applications.
A set of 48 practical programming exercises in cryptography and application security
Identifies misconfigured CloudFront domains vulnerable to hijacking
Octoscan is a static analysis tool that scans GitHub Actions workflows for security vulnerabilities and misconfigurations.
A comprehensive toolkit for web application security testing, offering a range of products and solutions for identifying vulnerabilities and improving security posture.
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.