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adriannoes/awesome-agentic-ai/cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/extracting-config-from-agent-tesla-rat/SKILL.md

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.

Source repository stars
52
Declared platforms
0
Static risk flags
1
Last source update
2026-08-22
Source checked
2026-08-28

Decision brief

What it does: where it fits

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.

Best for

  • 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

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/adriannoes/awesome-agentic-ai --skill "cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/extracting-config-from-agent-tesla-rat"
Safe inspection promptEditorial

Inspect the Agent Skill "extracting-config-from-agent-tesla-rat" from https://github.com/adriannoes/awesome-agentic-ai/blob/7f71af8164e8f5a775253417aa405b5d9d063faf/cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/extracting-config-from-agent-tesla-rat/SKILL.md at commit 7f71af8164e8f5a775253417aa405b5d9d063faf. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    Workflow

    Review the “Workflow” section in the pinned source before continuing.

    Review and apply the “Workflow” source section.
  2. 02

    Step 1: Deobfuscate and Extract Configuration

    Review the “Step 1: Deobfuscate and Extract Configuration” section in the pinned source before continuing.

    Review and apply the “Step 1: Deobfuscate and Extract Configuration” source section.
  3. 03

    When to Use

    When performing authorized security testing that involves extracting config from agent tesla rat

    When performing authorized security testing that involves extracting config from agent tesla ratWhen analyzing malware samples or attack artifacts in a controlled environmentWhen conducting red team exercises or penetration testing engagements
  4. 04

    Prerequisites

    dnSpy or ILSpy for .NET decompilation

    dnSpy or ILSpy for .NET decompilationPython 3.9+ with dnlib or pythonnet for automated extractionde4dot for .NET deobfuscation
  5. 05

    Validation Criteria

    Exfiltration method identified (SMTP/FTP/Telegram/Discord)

    Exfiltration method identified (SMTP/FTP/Telegram/Discord)Server addresses and credentials extracted from configTargeted applications list recovered

Permission review

Static risk signals and limitations

Network access

medium · line 53

The documentation includes network, browsing, or remote request actions.

"discord_webhook": re.compile(rb'https://discord\.com/api/webhooks/\d+/[\w-]+'),

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score93/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars52SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
adriannoes/awesome-agentic-ai
Skill path
cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/extracting-config-from-agent-tesla-rat/SKILL.md
Commit
7f71af8164e8f5a775253417aa405b5d9d063faf
License
MIT
Collected
2026-08-28
Default branch
main
View the original SKILL.md

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

Prerequisites

  • 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)

Workflow

Step 1: Deobfuscate and Extract Configuration

#!/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 = []

    # Look for 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.findall(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.finditer(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 = []

    # Find encrypted blobs (high-entropy byte sequences)
    blob_pattern = re.compile(rb'[\x80-\xff]{16,256}')
    for match in blob_pattern.finditer(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))

Validation 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

Frequently asked questions

What to verify before installation and use

What does the extracting-config-from-agent-tesla-rat source document cover?

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.

How do I install extracting-config-from-agent-tesla-rat?

The source record exposes this install command: npx skills add https://github.com/adriannoes/awesome-agentic-ai --skill "cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/extracting-config-from-agent-tesla-rat". Inspect the command and pinned source before running it.

Which permission-related actions were detected?

Static rules flagged network in the source; the page lists the matching lines and excerpts.

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