Open Source Python OSINT Tools

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. reNgine focuses on improving traditional reconnaissance workflows by organizing collected data in a database and correlating results to make them easier to analyze. This approach helps security professionals avoid manually searching through scattered files and instead work with structured, searchable reconnaissance data. The framework supports continuous monitoring of targets and can automatically notify users about newly discovered assets or vulnerabilities.

Trape is an open source OSINT analysis and research tool designed to track and analyze users on the internet in real time. The project focuses on demonstrating how web browsers can reveal sensitive information about users while interacting with websites and online services. It provides researchers, security professionals, and organizations with a platform for studying how attackers could gather intelligence through social engineering techniques. The tool can clone websites and monitor interactions in order to collect data from visitors, allowing investigators to observe user behavior and session activity. Trape was originally created to educate the public about how large internet services may obtain confidential information such as session status or browser details without users realizing it. Over time, it has evolved into a research platform that helps analysts track cybercriminal activity and study online tracking mechanisms.

RedAmon is an AI-powered red team framework designed to automate offensive cybersecurity operations from reconnaissance to exploitation and post-exploitation. 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.

Flowsint is an open source OSINT investigation platform designed to help analysts explore and understand relationships between digital entities through a visual graph interface. The platform focuses on reconnaissance and open source intelligence workflows, enabling investigators to map connections between domains, IP addresses, organizations, individuals, and other data points. By presenting these relationships in an interactive graph, Flowsint allows users to quickly identify patterns, associations, and investigative leads that might be difficult to detect through traditional data analysis methods. The system includes automated enrichers that gather additional intelligence about entities such as domain records, social media profiles, network infrastructure, and cryptocurrency activity. Its modular architecture separates the frontend application, API server, core services, and enrichment modules, making the platform extensible and easier to expand with new investigative capabilities.

IVRE is an open source network reconnaissance framework designed to collect, process, and analyze intelligence gathered from network scans and traffic data. It provides tools for both active and passive reconnaissance, enabling users to understand how networks behave and identify exposed services or infrastructure. The framework integrates with well known security and scanning tools such as Nmap, Masscan, ZGrab2, ZDNS, and Zeek to gather large amounts of network intelligence. IVRE stores the collected data in a database and offers multiple ways to explore and analyze it, including a web interface, command line tools, and a Python API. This allows security professionals to query scan results, inspect network flows, and identify patterns across large datasets. The project can be used to build self hosted alternatives to internet scanning services such as Shodan or Censys, giving organizations full control over their own reconnaissance infrastructure.

IntelOwl is an open source platform designed to manage and enrich threat intelligence data at scale. It provides a centralized environment where security analysts can gather information about suspicious files and observables such as IP addresses, domains, URLs, or hashes using a single API request. The platform integrates numerous online intelligence sources and advanced malware analysis tools, enabling users to obtain comprehensive threat intelligence without manually querying multiple services. IntelOwl was created to automate repetitive investigation tasks typically performed by security operations center (SOC) analysts, helping teams focus on deeper analysis and incident response. The system features a modular architecture built around plugins that allow new analyzers, connectors, and integrations to be added easily. These plugins can collect data from external intelligence platforms or generate insights using internal analysis tools such as YARA or static malware analyzers.