π 2025-05-15 β Session: LZMA Data Compression and Analysis
π 00:35β00:50
π·οΈ Labels: LZMA, Compression, Data Analysis, Python, Decompression
π Project: Dev
β Priority: MEDIUM
Session Goal
The session aimed to analyze and process LZMA compressed data streams, focusing on extraction, testing, and decoding techniques.
Key Activities
- Histogram Analysis: A histogram was created to illustrate the distribution of distances in compressed data, aiding pattern detection.
- LZMA Block Extraction: Detailed the process to identify and extract LZMA blocks from raw data using specific bash commands.
- Testing Strategy: Developed a strategy to test the hypothesis regarding the LZMA block signature
\x5d\x00\x00\x80
. - Partial Decoding Insights: Achieved partial success in decoding LZMA streams, suggesting further extraction methods.
- Decoding Analysis: Documented observations on block decoding, highlighting issues and proposing solutions.
- 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