tobias
f3ccc09c3d
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>
31 lines
1003 B
Plaintext
31 lines
1003 B
Plaintext
# gunzip
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# Decompress gzip-compressed data (often used in multi-stage payload extraction)
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# FOR610 Labs: 3.4 | Sections: 3
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% compression, extraction
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# Basic usage
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gunzip -c compressed.gz > output.bin
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# --- Recipes (multi-tool chains) ---
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# >> Decode Base64 + Gzip Payload
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# Find Base64 strings in the script
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base64dump.py <script.ps1> -n 10
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# Decode Base64 and decompress gzip in one chain
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base64dump.py <script.ps1> -s <selection> -d | gunzip > decoded.ps1
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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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