📅 2025-09-30 — Session: Resolved ADB and WhatsApp Data Extraction Issues
🕒 17:20–18:30
🏷️ Labels: ADB, Whatsapp, Data Extraction, Decryption, Sqlite
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary objective of this session was to troubleshoot and resolve issues related to ADB access for extracting WhatsApp data from Android devices, and to establish a reliable method for decrypting and analyzing the extracted data.
Key Activities
- ADB Troubleshooting: Addressed unauthorized state issues and set up udev rules to ensure proper ADB access.
- Data Extraction: Explored methods for extracting WhatsApp data using ADB, with considerations for both rooted and non-rooted devices.
- Decryption Process: Implemented steps to decrypt WhatsApp database files using Python and SQLite, including setting up the necessary tools and handling edge cases.
- Git Repository Management: Encountered and resolved issues related to cloning the ‘wa-crypt-tools’ repository for decryption purposes.
- Database Analysis: Analyzed the SQLite database structure and optimized queries for data extraction and performance.
- Data Export: Developed scripts and workflows for exporting WhatsApp data to CSV files, ensuring data privacy and integrity.
Achievements
- Successfully established a workflow for extracting and decrypting WhatsApp data.
- Resolved ADB access issues and set up a reliable environment for data extraction.
- Completed the setup and execution of decryption tools, enabling further data analysis.
- Developed a robust method for exporting data to CSV, addressing previous export issues.
Pending Tasks
- Further refine the DBML schema for WhatsApp message storage to enhance data integration.
- Continue exploring identity resolution and metrics for the communications hub project.