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mukul975
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Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
69 lines
2.5 KiB
Markdown
69 lines
2.5 KiB
Markdown
# API Reference: .NET Malware Reverse Engineering with dnSpy Agent
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## Overview
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Analyzes .NET malware: validates CLR headers, detects obfuscators (ConfuserEx, SmartAssembly), deobfuscates with de4dot, extracts strings/IOCs, and parses .NET metadata via monodis.
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## Dependencies
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| Package | Version | Purpose |
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|---------|---------|---------|
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| hashlib | stdlib | Sample hash computation |
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| struct | stdlib | PE/CLR header parsing |
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| re | stdlib | String pattern extraction |
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## External Tools (Optional)
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| Tool | Purpose |
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|------|---------|
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| diec (Detect It Easy) | Obfuscator identification |
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| de4dot | Automated .NET deobfuscation |
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| monodis | .NET assembly metadata extraction |
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## Core Functions
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### `detect_dotnet_assembly(filepath)`
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Validates PE file has CLR header (COM descriptor directory entry).
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- **Checks**: MZ signature, PE signature, optional header magic, CLR RVA
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- **Returns**: `dict` with `is_dotnet`, `clr_header_rva`
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### `detect_obfuscator(filepath)`
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Runs Detect It Easy to identify ConfuserEx, SmartAssembly, .NET Reactor, Dotfuscator, Babel, Eazfuscator, Crypto Obfuscator.
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- **Returns**: `dict` with `detected` list
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### `deobfuscate_with_de4dot(filepath, output_path)`
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Runs de4dot to remove obfuscation, producing a cleaner assembly.
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- **Timeout**: 120 seconds
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- **Returns**: `dict` with `success`, `output_path`
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### `extract_strings(filepath, min_length)`
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Extracts ASCII and Unicode strings, classifies into URLs, IPs, emails, registry keys, base64, and suspicious keywords (keylog, stealer, webhook, etc.).
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- **Returns**: `dict[str, list[str]]` - categorized indicator lists
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### `analyze_dotnet_metadata(filepath)`
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Uses monodis to extract assembly info, type definitions, and method counts.
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- **Returns**: `dict` with `type_count`, `method_count`, `types`
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### `analyze_dotnet_malware(filepath, output_dir)`
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Full pipeline: hashes -> .NET check -> obfuscator detection -> deobfuscation -> strings -> metadata.
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## Obfuscators Detected
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| Obfuscator | Indicator |
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|------------|-----------|
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| ConfuserEx | Most common open-source .NET obfuscator |
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| SmartAssembly | Commercial obfuscator by Redgate |
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| .NET Reactor | Code protection with native stub |
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| Dotfuscator | Microsoft-provided obfuscator |
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| Eazfuscator | Commercial string/flow obfuscation |
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## Suspicious String Keywords
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`keylog`, `screenshot`, `clipboard`, `password`, `credential`, `smtp`, `telegram`, `discord`, `webhook`, `stealer`, `inject`, `hook`, `persist`, `startup`
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## Usage
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```bash
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python agent.py suspect.exe
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```
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