Resources for Appsec
Cybersecurity training materials, courses, and educational resources for skill development. Task: Appsec
Explore 12 curated tools and resources
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A deliberately insecure web application for teaching web application security lessons maintained by OWASP.
The best security training environment for Developers and AppSec Professionals.
A vulnerable web application for learning about web application vulnerabilities and writing secure code.
A series of vulnerable virtual machine images with documentation to teach Linux, Apache, PHP, MySQL security.
A comprehensive guide to Nessus, a vulnerability scanner, covering data directories, binary directories, logs directories, plugin directories, advanced settings, API, and good practices.
Solve password-riddles on a website without logins or ads.
Comprehensive security training platform for web developers, offering hands-on experience with real, vulnerable applications and concrete advice for securing code.
Comprehensive cheat sheet for SQLite SQL injection techniques and payloads.
A collection of reports and resources highlighting Android security vulnerabilities and best practices.
A collection of security vulnerabilities in regular expressions used in WAFs with a focus on bypass examples and high severity issues.
An intentionally insecure Android app designed to teach developers and security professionals about common app vulnerabilities.
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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.
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.