Add FOR610 tool/workflow knowledge base and data pipeline
Build comprehensive malware analysis knowledge base from 3 sources: - SANS FOR610 course: 120 tools, 47 labs, 15 workflows, 27 recipes - REMnux salt-states: 340 packages parsed from GitHub - REMnux docs: 280+ tools scraped from docs.remnux.org Master inventory merges all sources into 447 tools with help tiers (rich/standard/basic). Pipeline generates: tools.db (397 entries), 397 cheatsheets with multi-tool recipes, 15 workflow guides, 224 TLDR pages, and coverage reports. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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# oledump.py
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# Analyze OLE2 files (Office documents), extract streams and VBA macros
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# FOR610 Labs: 3.3, 3.4, 4.5 | Sections: 3, 4 | Author: Didier Stevens
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# Docs: https://docs.remnux.org/discover-the-tools/analyze+documents/microsoft+office
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% office, vba, macro, ole, didier-stevens
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# Basic usage
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oledump.py document.docm
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# Select specific item
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oledump.py document.docm -s A3 -v
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# Alternative usage
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oledump.py document.docm -i
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# --- Recipes (multi-tool chains) ---
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# >> Extract Base64 PowerShell from Office Macro
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# List streams — find macro (M) and data streams
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oledump.py <document>
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# Extract VBA source to understand what the macro does
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oledump.py <document> -s <macro_stream> -v
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# Scan data stream for Base64 strings
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oledump.py <document> -s <data_stream> -d | base64dump.py -n 10
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# Decode the longest Base64 hit to file
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oledump.py <document> -s <data_stream> -d | base64dump.py -s 1 -d > payload.ps1
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# >> Decode VBA Number Arrays to Strings
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# Extract VBA and convert number sequences to text
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oledump.py <document> -s <stream> -v | numbers-to-string.py -j
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# Same but with line-break formatting for readability
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oledump.py <document> -s <stream> -v | numbers-to-string.py -j | sed 's/;/;\n/g'
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# >> Full Office Macro Decode Chain
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# Step 1: List streams and extract VBA
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oledump.py <document>
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oledump.py <document> -s <macro_stream> -v
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# Step 2: Extract Base64 from data stream
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oledump.py <document> -s <data_stream> -d | base64dump.py -s 1 -d > stage1.ps1
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# Step 3: Decode second Base64 layer + decompress
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base64dump.py stage1.ps1 -s 3 -d | gunzip > stage2.ps1
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# Step 4: XOR decode the shellcode
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base64dump.py stage2.ps1 -s 2 -d | translate.py 'byte ^ 35' > shellcode.bin
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# Step 5: Emulate the shellcode
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scdbgc /f shellcode.bin /s -1
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