AndroFuzz is a simple file format fuzzer for Android. It's used to fuzz PDF readers, but can be used for any file format. It relies on other file format fuzzers to create files and can fuzz multiple readers at once. AndroFuzz works by pushing files to an Android emulator, installing an APK, loading files, and monitoring logcat for buffer overflows. Currently, AndroFuzz is incomplete and unready for real fuzzing, requiring manual file generation and testing.
FEATURES
ALTERNATIVES
A tool for managing multiple reverse shell sessions/clients via terminal with a RESTful API.
A quick and dirty dynamic redirect.rules generator for penetration testers and security professionals.
A reminder that technology alone is not enough to stay secure against social engineering tactics.
Create a vulnerable active directory for testing various Active Directory attacks.
A subdomain enumeration tool for penetration testers and security researchers.
A tool for working with Direct System Calls in Cobalt Strike's Beacon Object Files (BOF) for offensive security purposes.
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.