Extracting Config From Agent Tesla Rat

---
name: extracting-config-from-agent-tesla-rat
description: 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.
tags:
- config-extraction
- keylogger
- rat
- agent-tesla
- credential-theft
- malware-analysis
- fetih
- cybersecurity
- dotnet
- siber-güvenlik
triggers:
- agent
- api
- config
- dns
- email
- encryption
- endpoint
- extracting
- hash
- http
- log
- malware
category: malware-analysis
source_subdomain: malware-analysis
nist_csf:
- DE.AE-02
- RS.AN-03
- ID.RA-01
- DE.CM-01
adapted_for: fetih
---

# Extracting Config from Agent Tesla Rat


## Genel Bakış

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.


## Ne Zaman Kullanılır

- performing yaparken authorized security testing that involves extracting config from agent tesla rat
- analyzing yaparken malware samples or attack artifacts in a controlled environment
- conducting yaparken red team exercises or penetration testing engagements
- building yaparken Tespit capabilities based on offensive technique understanding

## Ön Gereksinimler

- dnSpy or ILSpy for .NET decompilation
- Python 3.9+ with `dnlib` or `pythonnet` for automated extraction
- de4dot for .NET deobfuscation
- Understanding of .NET IL code and Reflection
- Sandbox for dynamic analysis (ANY.RUN, CAPE)

## İş Akışı

### Adım 1: Deobfuscate and Extract Configuration

```python
#!/usr/bin/env python3
"""Extract Agent Tesla RAT configuration from .NET assemblies."""
import re
import sys
import json
import base64
import hashlib
from pathlib import Path


def extract_strings_from_dotnet(filepath):
    """Extract readable strings from .NET binary for config analysis."""
    with open(filepath, 'rb') as f:
        data = f.read()

    # Extract US (User Strings) heap from .NET metadata
    strings = []

    # Ara: common Agent Tesla config patterns
    patterns = {
        "smtp_server": re.compile(rb'smtp[\.\-][\w\.\-]+\.\w{2,}', re.I),
        "email": re.compile(rb'[\w\.\-]+@[\w\.\-]+\.\w{2,}'),
        "ftp_url": re.compile(rb'ftp://[\w\.\-:/]+', re.I),
        "telegram_token": re.compile(rb'\d{8,10}:[A-Za-z0-9_-]{35}'),
        "telegram_chat": re.compile(rb'(?:chat_id=|chatid[=:])[\-]?\d{5,15}', re.I),
        "discord_webhook": re.compile(rb'https://discord\.com/api/webhooks/\d+/[\w-]+'),
        "password": re.compile(rb'(?:pass(?:word)?|pwd)[=:]\s*[\w!@#$%^&*]{4,}', re.I),
        "port": re.compile(rb'(?:port|smtp_port)[=:]\s*\d{2,5}', re.I),
    }

    results = {}
    for name, pattern in patterns.items():
        matches = pattern.Bul:all(data)
        if matches:
            results[name] = [m.decode('utf-8', errors='replace') for m in matches]

    # Extract Base64-encoded strings (common obfuscation)
    b64_pattern = re.compile(rb'[A-Za-z0-9+/]{20,}={0,2}')
    b64_decoded = []
    for match in b64_pattern.Bul:iter(data):
        try:
            decoded = base64.b64decode(match.group())
            text = decoded.decode('utf-8', errors='strict')
            if text.isprintable() and len(text) > 5:
                b64_decoded.append(text)
        except Exception:
            pass

    if b64_decoded:
        results["base64_decoded_strings"] = b64_decoded[:30]

    return results


def decrypt_agenttesla_strings(data, key_hex):
    """Decrypt Agent Tesla encrypted configuration strings."""
    key = bytes.fromhex(key_hex)
    # Agent Tesla V1: Simple XOR with key
    decrypted_strings = []

    # Bul: encrypted blobs (high-entropy byte sequences)
    blob_pattern = re.compile(rb'[\x80-\xff]{16,256}')
    for match in blob_pattern.Bul:iter(data):
        blob = match.group()
        # Try XOR decryption
        decrypted = bytes(b ^ key[i % len(key)] for i, b in enumerate(blob))
        try:
            text = decrypted.decode('utf-8', errors='strict')
            if text.isprintable() and len(text.strip()) > 3:
                decrypted_strings.append(text.strip())
        except UnicodeDecodeError:
            pass

    # V2: SHA256-based key derivation then AES
    sha256_key = hashlib.sha256(key).digest()

    return decrypted_strings


def analyze_exfiltration_config(config):
    """Analyze extracted configuration for exfiltration methods."""
    methods = []

    if config.get("smtp_server"):
        methods.append({
            "type": "SMTP",
            "servers": config["smtp_server"],
            "emails": config.get("email", []),
        })

    if config.get("ftp_url"):
        methods.append({
            "type": "FTP",
            "urls": config["ftp_url"],
        })

    if config.get("telegram_token"):
        methods.append({
            "type": "Telegram",
            "tokens": config["telegram_token"],
            "chat_ids": config.get("telegram_chat", []),
        })

    if config.get("discord_webhook"):
        methods.append({
            "type": "Discord",
            "webhooks": config["discord_webhook"],
        })

    return methods


if __name__ == "__main__":
    if len(sys.argv) < 2:
        print(f"Usage: {sys.argv[0]} <agent_tesla_sample>")
        sys.exit(1)

    config = extract_strings_from_dotnet(sys.argv[1])
    methods = analyze_exfiltration_config(config)

    report = {"raw_config": config, "exfiltration_methods": methods}
    print(json.dumps(report, indent=2))
```

## Doğrulama Criteria

- Exfiltration method identified (SMTP/FTP/Telegram/Discord)
- Server addresses and credentials extracted from config
- Targeted applications list recovered
- Keylogger and screenshot capture settings documented
- Persistence mechanism identified
- IOCs suitable for network blocking extracted

## References

- [Splunk - Agent Tesla Tespit and Analysis](https://www.splunk.com/en_us/blog/security/inside-the-mind-of-a-rat-agent-tesla-Tespit-and-analysis.html)
- [Qualys - Catching the RAT Agent Tesla](https://blog.qualys.com/vulnerabilities-threat-research/2022/02/02/catching-the-rat-called-agent-tesla)
- [ANY.RUN Agent Tesla Analysis](https://any.run/malware-trends/agenttesla/)
- [Trustwave - Agent Tesla Novel Loader](https://www.trustwave.com/en-us/resources/blogs/spiderlabs-blog/agent-teslas-new-ride-the-rise-of-a-novel-loader/)
- [Malpedia - Agent Tesla](https://malpedia.caad.fkie.fraunhofer.de/details/win.agent_tesla)

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