[GEMINI] Record future metadata parsing features in status roadmap and architecture documentation
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@@ -21,7 +21,13 @@ This file tracks the completed progress and upcoming development milestones for
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### 📅 Phase 1: Functional Forensics Pipeline & Toolkit
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* **Pipeline Automation**: Integrate the existing forensics command-line utilities into a cohesive analysis pipeline where files are automatically checked for magic bytes, file extensions, and flag patterns.
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* **Metadata & Extraction Toolkit**: Extend forensics tools to extract specific metadata (e.g., EXIF records, archive tables) and automate extraction/carving of nested data structures (e.g., binwalk-like carving, automated unzipping, extraction of hidden payloads).
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* **Metadata & Extraction Toolkit**: Extend forensics tools to extract specific metadata and automate extraction/carving of nested data structures (e.g., binwalk-like carving, automated unzipping, extraction of hidden payloads).
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* **Targeted Forensic Metadata Parsing**: Implement pure-Python parsers for high-signal forensics structures:
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* *PNG Text Chunks*: Extract metadata from `tEXt`, `zTXt`, and `iTXt` blocks.
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* *PDF Catalog Info*: Extract `/Info` and `/Metadata` XML properties.
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* *GIF Application Extensions*: Extract comments and loop delays.
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* *ELF/PE Executable Headers*: Read architecture, entry points, and section identifiers.
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* *MP3 ID3 Tags*: Extract Title, Artist, Album, and standard Comment frames.
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* **QOL Utilities**: Add standard format outputs (JSON, Rich logs) and automatic logging of analysis artifacts to speed up user-led inspections.
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### 📅 Phase 2: Core CTF Solving & Solver QOL
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