DOM XSS scanner for Single Page Applications DOMdig is a tool designed to detect and exploit DOM-based Cross-Site Scripting (XSS) vulnerabilities in Single Page Applications (SPAs). It uses a combination of techniques to identify and exploit XSS vulnerabilities, including * Static analysis of the application's HTML and JavaScript code * Dynamic analysis of the application's behavior * Fuzz testing to identify potential vulnerabilities DOMdig is a powerful tool for identifying and exploiting XSS vulnerabilities in SPAs, and can be used by security researchers, developers, and penetration testers to improve the security of their applications.
FEATURES
EXPLORE BY TAGS
SIMILAR TOOLS
Tool for decompressing malware samples to run Yara rules against them.
A de-obfuscator for M/o/Vfuscator, a notorious obfuscator, designed to reverse the effects of M/o/Vfuscator's obfuscation.
Scans running processes for potentially malicious implants and dumps them.
A collection of reverse engineering challenges covering a wide range of topics and difficulty levels.
Largest open collection of Android malware samples, with 298 samples and contributions welcome.
Online Java decompiler tool with support for modern Java features.
A tool for identifying and analyzing Java serialized objects in network traffic
Binwalk is a tool for analyzing, reverse engineering, and extracting firmware images with security and Python 2.7 deprecation notices.
PINNED

Mandos
Fractional CISO service that helps B2B companies implement security leadership to win enterprise deals, achieve compliance, and develop strategic security programs.

Checkmarx SCA
A software composition analysis tool that identifies vulnerabilities, malicious code, and license risks in open source dependencies throughout the software development lifecycle.

Orca Security
A cloud-native application protection platform that provides agentless security monitoring, vulnerability management, and compliance capabilities across multi-cloud environments.

DryRun
A GitHub application that performs automated security code reviews by analyzing contextual security aspects of code changes during pull requests.