Ethical hacking tools and resources for penetration testing and red team operations. Task: Web App Security
Explore 9 curated tools and resources
XAHICO Web Platform is a cloud-based solution for vulnerability detection, penetration testing, and adversary simulation, accessible through web browsers and suitable for various user levels.
A Python library for exploiting race conditions in web apps
Modular framework for web services penetration testing with support for various attacks.
A penetration testing tool that focuses on web browser exploitation
A Linux-based environment for penetration testing and vulnerability exploitation
Collection of URLs for vulnerable web applications and systems for cybersecurity practice.
CLI tool for offensive and defensive security assessments on the Joi validator library with a wide range of attacks.
A blog post discussing the often overlooked dangers of CSV injection in applications.
A tool for automated security scanning of web applications and manual penetration testing.
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
An AI-driven data classification and governance platform that automatically discovers, analyzes, and labels sensitive information while providing risk management and compliance capabilities.
An AI-powered platform that automates threat hunting and analysis by processing cyber threat intelligence and generating customized hunt packages for SOC teams.
Aikido is an all-in-one security platform that combines multiple security scanning and management functions for cloud-native applications and infrastructure.
Permiso is an Identity Threat Detection and Response platform that provides comprehensive visibility and protection for identities across multiple cloud environments.
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.