πŸ“… 2025-05-15 β€” Session: LZMA Data Compression and Analysis

πŸ•’ 00:35–00:50
🏷️ Labels: LZMA, Compression, Data Analysis, Python, Decompression
πŸ“‚ Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to analyze and process LZMA compressed data streams, focusing on extraction, testing, and decoding techniques.

Key Activities

  1. Histogram Analysis: A histogram was created to illustrate the distribution of distances in compressed data, aiding pattern detection.
  2. LZMA Block Extraction: Detailed the process to identify and extract LZMA blocks from raw data using specific bash commands.
  3. Testing Strategy: Developed a strategy to test the hypothesis regarding the LZMA block signature \x5d\x00\x00\x80.
  4. Partial Decoding Insights: Achieved partial success in decoding LZMA streams, suggesting further extraction methods.
  5. Decoding Analysis: Documented observations on block decoding, highlighting issues and proposing solutions.
  6. Python Decompression Script: Implemented a Python script to attempt decompression using various parameters.

Achievements

  • Successfully created visual aids for pattern detection in compressed data.
  • Established a workflow for extracting and testing LZMA blocks.
  • Developed a Python script for flexible decompression attempts.

Pending Tasks

  • Further refine extraction methods based on partial decoding insights.
  • Continue testing with additional configurations to improve decompression success.

Tags

anΓ‘lisis de datos, LZMA, compresiΓ³n, decodificaciΓ³n, [[Python]], pruebas