There is a problem when you are trying to find the relevant Android Security related presentations in general: The interesting articles are usually scattered across the internet, often disappearing when the owner forgets to renew their domain or shuts down their blog. Although, it has been documented in DroidSec (https://github.com/droidsec/droidsec.github.io/wiki/Android-Whitepapers), some of the links are now no longer available. This repository aims to be an archive of all the Android presentations/whitepapers presented in conferences and references the conferences it was presented.
A comprehensive guide to reverse engineering by Dennis Yurichev, available for free download in multiple languages and formats, with praise from cybersecurity experts.
An intentionally insecure Android app designed to teach developers and security professionals about common app vulnerabilities.
ENISA Training Resources offers online training material for cybersecurity specialists, covering technical areas such as artefact handling and analysis.
A comprehensive list of search filters for the SHODAN search engine.
IT certification training for CompTIA exams with free resources.
Comprehensive documentation for ThreatConnect's REST API and SDKs.
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
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.
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
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.