Individual skill
extracting-config-from-agent-tesla-rat
Extract embedded configuration from Agent Tesla RAT samples including SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 endpoints using .NET decompilation and memory analysis.
internal/tools/skills/data/malware-analysis/extracting-config-from-agent-tesla-rat/SKILL.md
Source commit d42f381ad34843e71a42658e5c57290c713e85af
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- Instructions only
- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- agent-tesla Declared skill tag
- rat Declared skill tag
- config-extraction Declared skill tag
- dotnet Declared skill tag
- malware-analysis Declared skill tag
- keylogger Declared skill tag
- credential-theft Declared skill tag
- engineering Derived category
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# Extracting Config from Agent Tesla RAT
## Overview
Agent Tesla is a .NET-based Remote Access Trojan (RAT) and keylogger that ranked among the top 10 malware variants in 2024, impacting 6.3% of corporate networks globally. It exfiltrates stolen credentials via SMTP email, FTP upload, Telegram bot API, or Discord webhooks. The malware configuration is embedded in the .NET assembly, typically obfuscated using string encryption, resource encryption, or custom loaders that decrypt and execute Agent Tesla in memory via .NET Reflection (fileless). Configuration extraction involves decompiling the .NET assembly with dnSpy or ILSpy, identifying the decryption routine for configuration strings, and extracting SMTP server addresses, credentials, FTP endpoints, Telegram bot tokens, and targeted applications.
## When to Use
- When performing authorized security testing that involves extracting config from agent tesla rat
- When analyzing malware samples or attack artifacts in a controlled environment
- When conducting red team exercises or penetration testing engagements
- When building detection capabilities based on offensive technique understanding
## Detection Gaps & Validation