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extracting-config-from-agent-tesla-rat从 Agent teslarat 中提取配置

Agent Skill

extracting-config-from-agent-tesla-rat 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

245

周安装

10

GitHub Stars

5,865

下载量

78
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:extracting-config-from-agent-tesla-rat(从 Agent teslarat 中提取配置)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/extracting-config-from-agent-tesla-rat
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill extracting-config-from-agent-tesla-rat
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill extracting-config-from-agent-tesla-rat

简介

用于从 Agent Tesla RAT 的 .NET 程序集中提取配置信息。

  • 支持反混淆、解密内存加载载荷,恢复 SMTP、FTP、Telegram 等外泄通道。
  • 适用于恶意软件分析和入侵响应中的配置还原与攻击链重建。
  • 安装前建议确认权限范围,注意仅限授权安全测试环境使用。
  • extracting-config-from-agent-tesla-rat 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.07%
按下载量换算27

Claude

28.82%
按下载量换算22

Cursor

17.16%
按下载量换算13

Gemini CLI

9.06%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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