Stock Data

If one were to overcome the rooting and encryption challenges (which is generally not feasible for the average user), the contact information would likely be stored in tables with names hinting at user details or contacts (e.g., users, contacts). Analyzing the structure of these tables might reveal columns containing:

User IDs: Unique identifiers for each Telegram user.
Phone Numbers: If shared and stored locally.
Usernames: Publicly available usernames.
First and Last Names: Display names.
Mutual Contact Status: Indicating if the user is in your address book.
Extracting this information would involve querying philippines telegram phone number list these tables using SQLite commands to retrieve the relevant columns and potentially joining data from related tables to build a comprehensive contact list.

Theoretical Extraction of Keywords (If Data Were Accessible and Unencrypted):

Extracting keywords would be a more complex task, potentially involving the messages table (if message content were accessible). This would require:

Identifying the Message Content Column: Locating the column that stores the actual text of messages.