Search Results for "attack"

...It combines artificial intelligence with traditional penetration testing tools to create a fully autonomous pipeline capable of discovering vulnerabilities and executing security assessments without human intervention. It begins with a multi-phase reconnaissance engine that maps the entire attack surface of a target, collecting information such as subdomains, open ports, services, and potential vulnerabilities. RedAmon then uses an AI agent orchestrator to analyze this data, select appropriate tools, and perform exploitation steps such as credential brute forcing or CVE-based attacks. All discovered assets, relationships, and vulnerabilities are stored in a Neo4j knowledge graph, allowing the system to reason about the environment and make informed decisions during the attack process.

...It acts as a centralized launcher that integrates scripts and third-party tools, allowing users to access different testing functions through a menu-based command line workflow. Xteam includes features such as Instagram information gathering, phishing utilities, wireless attack tools, and Android security testing capabilities. Xteam’s architecture uses a main bash script that serves as the hub for running internal modules or downloading and executing external projects when needed. It can operate on Linux systems as well as Android devices using Termux, making it accessible in both desktop and mobile environments.

...The repository tracks and organizes security-relevant assets for more than 800 companies participating in public vulnerability disclosure and bug bounty initiatives. It collects information such as DNS records and web server data, helping security researchers better understand the attack surface of these programs. It aims to streamline reconnaissance for bug bounty hunters by providing ready-to-use asset information so researchers can quickly begin testing new targets. It also helps security teams gain clearer visibility into their exposed infrastructure and publicly reachable systems. Much of the data in the repository is generated automatically through workflows that gather, transform, and consolidate bug bounty program data from multiple sources.

reNgine is an automated reconnaissance framework designed to simplify and enhance the process of gathering information about web applications during security assessments. It provides a streamlined workflow for penetration testers, bug bounty hunters, and security teams who need to perform reconnaissance efficiently and at scale. The platform integrates multiple open-source reconnaissance tools into a unified environment with a configurable scanning engine and an intuitive web interface....

...Mantis operates through a command line interface and accepts targets such as top level domains, IP addresses, or network ranges as input. From these inputs, it automatically discovers associated digital assets including subdomains and SSL certificates, allowing users to map the attack surface of a system. After discovery, the framework performs reconnaissance on active assets to gather technical information such as open ports, technologies, network details, and hosting infrastructure. Mantis then conducts security scans to identify vulnerabilities, exposed secrets, configuration weaknesses, and potentially malicious phishing domains. ...

Sn1per Professional is an all-in-one offensive security platform that provides a comprehensive view of your internal and external attack surface and offers an asset risk scoring system to prioritize, reduce, and manage risk. With Sn1per Professional, you can discover the attack surface and continuously monitor it for changes. It integrates with the leading open source and commercial security testing tools for a unified view of your data.

...Subdomain enumeration process can be achieved by using active method or passive method. Sudomy utilize Gobuster tools because of its highspeed performance in carrying out DNS Subdomain Bruteforce attack (wildcard support). The wordlist that is used comes from combined SecList (Discover/DNS) lists which contains around 3 million entries. By evaluating and selecting the good third-party sites/resources, the enumeration process can be optimized. More results will be obtained with less time required.