qsfuzz (Query String Fuzz) allows you to build your own rules to fuzz query strings and easily identify vulnerabilities. It's a tool that helps you to fuzz query strings and identify vulnerabilities. You can use it to fuzz query strings and identify vulnerabilities. It's a tool that helps you to fuzz query strings and identify vulnerabilities. You can use it to fuzz query strings and identify vulnerabilities. It's a tool that helps you to fuzz query strings and identify vulnerabilities. You can use it to fuzz query strings and identify vulnerabilities.
FEATURES
ALTERNATIVES
A de-obfuscator for M/o/Vfuscator, a notorious obfuscator, designed to reverse the effects of M/o/Vfuscator's obfuscation.
A Burp intruder extender for automating and validating XSS vulnerabilities
GuardDog is a CLI tool for identifying malicious PyPI and npm packages through heuristics and Semgrep rules.
A tool that generates Yara rules for strings and their XOR encoded versions, as well as base64-encoded variations with different padding possibilities.
One stop shop for decompiling Android apps with a focus on regenerating R references.
FLARE Obfuscated String Solver (FLOSS) automatically extracts and deobfuscates strings from malware binaries using advanced static analysis techniques.
Educational resources for reverse engineering tutorials by lena151.
PINNED
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.