Search Results for "local"

...Its value lies in curation and discoverability, allowing users to pivot rapidly between relevant intelligence tools during investigations. The framework includes indicators showing whether a resource requires registration, manual editing, or local installation, improving workflow planning.

...By continuously monitoring these changes, WhatsApp Beacon records connectivity patterns and builds a historical dataset of activity sessions. The collected information is stored in logs and a local database, allowing users to review behavioral patterns over time. In addition, the project supports exporting collected data to spreadsheet formats for further analysis or reporting. WhatsApp Beacon is designed to run across multiple operating systems and can operate in the background using headless browser automation. It is intended for educational and research purposes related to open-source intelligence (OSINT) and digital investigation.

Robin is an AI-powered open source tool designed to assist investigators and researchers in conducting dark web OSINT (Open Source Intelligence) investigations. It combines automated dark web search capabilities with large language models (LLMs) to analyze and summarize information discovered across hidden services and Tor-based search engines. The tool helps refine investigative queries, collect results from multiple dark web sources, and filter relevant intelligence using AI-driven...

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,...

...The project focuses on OSINT (Open Source Intelligence) workflows by allowing users to collect and store videos, metadata, and thumbnails from a YouTube channel in a structured local archive. Instead of simply downloading individual videos, Yark creates a self-contained archive directory that includes metadata files and organized folders for media assets. This format allows users to maintain a historical record of a channel and track updates or changes over time. The tool also provides a local offline web interface that lets users browse and watch archived videos directly in their browser. ...

...This technique is commonly used in security research and OSINT investigations to discover related infrastructure or services that may belong to the same organization. fav-up can retrieve favicon data from several sources, including local files, direct favicon URLs, or full web pages where the favicon is automatically extracted. fav-up then computes the favicon hash and performs Shodan queries to locate IP addresses that match the same hash. To support larger investigations, the tool can iterate over lists of URLs, domains, or favicon files in bulk. Results can be printed to the console or exported into structured formats such as CSV or JSON for further analysis and reporting.