Locked Telerecon: OSINT reconnaissance framework for researching, investigating, and scraping Telegram

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Telerecon is a comprehensive OSINT reconnaissance framework for researching, investigating, and scraping Telegram.

For example: Input a target username, and Telerecon efficiently crawls across multiple chats gathering profile metadata, account activity, user messages, extracting potential selectors, ideological indicators, identifying named entities, indicators of capability and violent intent, constructing a network map of possible associates, and a EXIF metadata geo-map, amongst various other analytics.

Other features of Telerecon include scraping Telegram channels/groups, automated forward mapping for exploratory network analysis, and conducting a channel community census.

Options

    Get user information: Search a @username and return any public user information (username, first name, last name, phone number, UserID, Bio, Online status, profile picture).

    Check user activity across a list of channels: Iterate through a txt/csv directory list of Telegram channels, looking for any messages by the target username. (Assumes directory list is in the primary Telerecon directory).

    Collect user messages from a target channel: Collect and compile any messages from the target username in a target channel. Option to also download media (NOTE - media download slows collection).

    Collect user messages from a list of target channels: iterate through a txt/csv directory list of Telegram channels, collecting and compiling any messages by the target username. Option to also download media (NOTE - media download slows collection). Assumes directory list is in the primary Telerecon directory.

    Scrape all messages within a channel: Collect and compile messages in a target channel. Download full history, last 24 hours, or custom date range.

    Scrape all t.me URLs from within a channel: parses a channel and extracts all t.me URLs mentioned within. This is designed to easily create a Telegram directory.

    Scrape forwarding relationships into target channel: Scrape forwarding relationships into a target channel. Exporting a Gephi optimised adjacency list, and URL directory of the discovered channels.

    Scrape forwarding relationships into a list of target channels: Iterate through a txt/csv directory list of Telegram channels, scraping forwarding relationships. Exporting a Gephi optimised adjacency list, and URL directory of the discovered channels. Afterwards can use terminal commands to merge outputs. (i.e. merge URLs lists = cat *.csv | sort | uniq > combined.csv)

    Identify possible user associates via interaction network map: Assumes user messages have already been collected. Constructs a network visualisation showing replies/interactions with other users (useful for identifying possible associates).

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