📅 2025-05-15 — Session: Analyzed and Decoded LZMA Compressed Data
🕒 00:35–00:50
🏷️ Labels: LZMA, Compression, Data Analysis, Extraction, Python
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to analyze and decode LZMA compressed data to identify patterns and improve data extraction techniques.
Key Activities
- Analyzed the distribution of distances in compressed data using histograms and tables to detect patterns.
- Extracted LZMA blocks from raw data streams using specific bash commands.
- Developed a testing strategy to validate the hypothesis regarding LZMA block signatures.
- Achieved partial success in decoding LZMA streams, suggesting further extraction methods.
- Documented observations on decoding failures and proposed steps for improvement.
- Implemented a Python script to attempt decompression of LZMA data using various filter parameters.
Achievements
- Created visualizations to aid in pattern detection within compressed data.
- Successfully extracted and partially decoded LZMA blocks, confirming the integrity of certain data segments.
Pending Tasks
- Further analysis using clustering and time series visualization.
- Refinement of extraction methods for improved output.
- Addressing failures in stream delimitation to enhance data recovery.