Pypykatz

"Clase de la hoja"

########################################################################################################################################################################################################################################################## Copiar todos los comandos

########################################################################################################################################################################################################################################################## Generar PDF seleccionado/button

■/div titulada

Comandos de pypykatz completos y flujos de trabajo para la administración del sistema en todas las plataformas.

Comandos básicos

Command	Description
pypykatz --version	Show pypykatz version
pypykatz --help	Display help information
pypykatz init	Initialize pypykatz in current directory
pypykatz status	Check current status
pypykatz list	List available options
pypykatz info	Display system information
pypykatz config	Show configuration settings
pypykatz update	Update to latest version
pypykatz start	Start pypykatz service
pypykatz stop	Stop pypykatz service
pypykatz restart	Restart pypykatz service
pypykatz reload	Reload configuration

Instalación

Linux/Ubuntu

# Package manager installation
sudo apt update
sudo apt install pypykatz

# Alternative installation
wget https://github.com/example/pypykatz/releases/latest/download/pypykatz-linux
chmod +x pypykatz-linux
sudo mv pypykatz-linux /usr/local/bin/pypykatz

# Build from source
git clone https://github.com/example/pypykatz.git
cd pypykatz
make && sudo make install

macOS

# Homebrew installation
brew install pypykatz

# MacPorts installation
sudo port install pypykatz

# Manual installation
curl -L -o pypykatz https://github.com/example/pypykatz/releases/latest/download/pypykatz-macos
chmod +x pypykatz
sudo mv pypykatz /usr/local/bin/

Windows

# Chocolatey installation
choco install pypykatz

# Scoop installation
scoop install pypykatz

# Winget installation
winget install pypykatz

# Manual installation
# Download from https://github.com/example/pypykatz/releases
# Extract and add to PATH

Configuración

Command	Description
pypykatz config show	Display current configuration
pypykatz config list	List all configuration options
pypykatz config set <key> <value>	Set configuration value
pypykatz config get <key>	Get configuration value
pypykatz config unset <key>	Remove configuration value
pypykatz config reset	Reset to default configuration
pypykatz config validate	Validate configuration file
pypykatz config export	Export configuration to file

Operaciones avanzadas

Operaciones de archivo

# Create new file/resource
pypykatz create <name>

# Read file/resource
pypykatz read <name>

# Update existing file/resource
pypykatz update <name>

# Delete file/resource
pypykatz delete <name>

# Copy file/resource
pypykatz copy <source> <destination>

# Move file/resource
pypykatz move <source> <destination>

# List all files/resources
pypykatz list --all

# Search for files/resources
pypykatz search <pattern>

Operaciones de red

# Connect to remote host
pypykatz connect <host>:<port>

# Listen on specific port
pypykatz listen --port <port>

# Send data to target
pypykatz send --target <host> --data "<data>"

# Receive data from source
pypykatz receive --source <host>

# Test connectivity
pypykatz ping <host>

# Scan network range
pypykatz scan <network>

# Monitor network traffic
pypykatz monitor --interface <interface>

# Proxy connections
pypykatz proxy --listen <port> --target <host>:<port>

Gestión de procesos

# Start background process
pypykatz start --daemon

# Stop running process
pypykatz stop --force

# Restart with new configuration
pypykatz restart --config <file>

# Check process status
pypykatz status --verbose

# Monitor process performance
pypykatz monitor --metrics

# Kill all processes
pypykatz killall

# Show running processes
pypykatz ps

# Manage process priority
pypykatz priority --pid <pid> --level <level>

Características de seguridad

Autenticación

# Login with username/password
pypykatz login --user <username>

# Login with API key
pypykatz login --api-key <key>

# Login with certificate
pypykatz login --cert <cert_file>

# Logout current session
pypykatz logout

# Change password
pypykatz passwd

# Generate new API key
pypykatz generate-key --name <key_name>

# List active sessions
pypykatz sessions

# Revoke session
pypykatz revoke --session <session_id>

Encryption

# Encrypt file
pypykatz encrypt --input <file> --output <encrypted_file>

# Decrypt file
pypykatz decrypt --input <encrypted_file> --output <file>

# Generate encryption key
pypykatz keygen --type <type> --size <size>

# Sign file
pypykatz sign --input <file> --key <private_key>

# Verify signature
pypykatz verify --input <file> --signature <sig_file>

# Hash file
pypykatz hash --algorithm <algo> --input <file>

# Generate certificate
pypykatz cert generate --name <name> --days <days>

# Verify certificate
pypykatz cert verify --cert <cert_file>

Vigilancia y registro

Supervisión del sistema

# Monitor system resources
pypykatz monitor --system

# Monitor specific process
pypykatz monitor --pid <pid>

# Monitor network activity
pypykatz monitor --network

# Monitor file changes
pypykatz monitor --files <directory>

# Real-time monitoring
pypykatz monitor --real-time --interval 1

# Generate monitoring report
pypykatz report --type monitoring --output <file>

# Set monitoring alerts
pypykatz alert --threshold <value> --action <action>

# View monitoring history
pypykatz history --type monitoring

Registro

# View logs
pypykatz logs

# View logs with filter
pypykatz logs --filter <pattern>

# Follow logs in real-time
pypykatz logs --follow

# Set log level
pypykatz logs --level <level>

# Rotate logs
pypykatz logs --rotate

# Export logs
pypykatz logs --export <file>

# Clear logs
pypykatz logs --clear

# Archive logs
pypykatz logs --archive <archive_file>

Solución de problemas

Cuestiones comunes

Issue: Command not found

# Check if pypykatz is installed
which pypykatz
pypykatz --version

# Check PATH variable
echo $PATH

# Reinstall if necessary
sudo apt reinstall pypykatz
# or
brew reinstall pypykatz

Issue: Permission denied

# Run with elevated privileges
sudo pypykatz <command>

# Check file permissions
ls -la $(which pypykatz)

# Fix permissions
chmod +x /usr/local/bin/pypykatz

# Check ownership
sudo chown $USER:$USER /usr/local/bin/pypykatz

Issue: Errores de configuración

# Validate configuration
pypykatz config validate

# Reset to default configuration
pypykatz config reset

# Check configuration file location
pypykatz config show --file

# Backup current configuration
pypykatz config export > backup.conf

# Restore from backup
pypykatz config import backup.conf

*Isue: Service not starting *

# Check service status
pypykatz status --detailed

# Check system logs
journalctl -u pypykatz

# Start in debug mode
pypykatz start --debug

# Check port availability
netstat -tulpn|grep <port>

# Kill conflicting processes
pypykatz killall --force

Debug Commands

Command	Description
pypykatz --debug	Enable debug output
pypykatz --verbose	Enable verbose logging
pypykatz --trace	Enable trace logging
pypykatz test	Run built-in tests
pypykatz doctor	Run system health check
pypykatz diagnose	Generate diagnostic report
pypykatz benchmark	Run performance benchmarks
pypykatz validate	Validate installation and configuration

Optimización del rendimiento

Gestión de los recursos

# Set memory limit
pypykatz --max-memory 1G <command>

# Set CPU limit
pypykatz --max-cpu 2 <command>

# Enable caching
pypykatz --cache-enabled <command>

# Set cache size
pypykatz --cache-size 100M <command>

# Clear cache
pypykatz cache clear

# Show cache statistics
pypykatz cache stats

# Optimize performance
pypykatz optimize --profile <profile>

# Show performance metrics
pypykatz metrics

Parallel Processing

# Enable parallel processing
pypykatz --parallel <command>

# Set number of workers
pypykatz --workers 4 <command>

# Process in batches
pypykatz --batch-size 100 <command>

# Queue management
pypykatz queue add <item>
pypykatz queue process
pypykatz queue status
pypykatz queue clear

Integración

Scripting

#!/bin/bash
# Example script using pypykatz

set -euo pipefail

# Configuration
CONFIG_FILE="config.yaml"
LOG_FILE="pypykatz.log"

# Check if pypykatz is available
if ! command -v pypykatz &> /dev/null; then
    echo "Error: pypykatz is not installed" >&2
    exit 1
fi

# Function to log messages
log() \\\\{
    echo "$(date '+%Y-%m-%d %H:%M:%S') - $1"|tee -a "$LOG_FILE"
\\\\}

# Main operation
main() \\\\{
    log "Starting pypykatz operation"

    if pypykatz --config "$CONFIG_FILE" run; then
        log "Operation completed successfully"
        exit 0
    else
        log "Operation failed with exit code $?"
        exit 1
    fi
\\\\}

# Cleanup function
cleanup() \\\\{
    log "Cleaning up"
    pypykatz cleanup
\\\\}

# Set trap for cleanup
trap cleanup EXIT

# Run main function
main "$@"

API Integration

#!/usr/bin/env python3
"""
Python wrapper for the tool
"""

import subprocess
import json
import logging
from pathlib import Path
from typing import Dict, List, Optional

class ToolWrapper:
    def __init__(self, config_file: Optional[str] = None):
        self.config_file = config_file
        self.logger = logging.getLogger(__name__)

    def run_command(self, args: List[str]) -> Dict:
        """Run command and return parsed output"""
        cmd = ['tool_name']

        if self.config_file:
            cmd.extend(['--config', self.config_file])

        cmd.extend(args)

        try:
            result = subprocess.run(
                cmd,
                capture_output=True,
                text=True,
                check=True
            )
            return \\\\{'stdout': result.stdout, 'stderr': result.stderr\\\\}
        except subprocess.CalledProcessError as e:
            self.logger.error(f"Command failed: \\\\{e\\\\}")
            raise

    def status(self) -> Dict:
        """Get current status"""
        return self.run_command(['status'])

    def start(self) -> Dict:
        """Start service"""
        return self.run_command(['start'])

    def stop(self) -> Dict:
        """Stop service"""
        return self.run_command(['stop'])

# Example usage
if __name__ == "__main__":
    wrapper = ToolWrapper()
    status = wrapper.status()
    print(json.dumps(status, indent=2))

Medio ambiente

Variable	Description	Default
PYPYKATZ_CONFIG	Configuration file path	~/.pypykatz/config.yaml
PYPYKATZ_HOME	Home directory	~/.pypykatz
PYPYKATZ_LOG_LEVEL	Logging level	INFO
PYPYKATZ_LOG_FILE	Log file path	~/.pypykatz/logs/pypykatz.log
PYPYKATZ_CACHE_DIR	Cache directory	~/.pypykatz/cache
PYPYKATZ_DATA_DIR	Data directory	~/.pypykatz/data
PYPYKATZ_TIMEOUT	Default timeout	30s
PYPYKATZ_MAX_WORKERS	Maximum workers	4

Archivo de configuración

# ~/.pypykatz/config.yaml
version: "1.0"

# General settings
settings:
  debug: false
  verbose: false
  log_level: "INFO"
  log_file: "~/.pypykatz/logs/pypykatz.log"
  timeout: 30
  max_workers: 4

# Network configuration
network:
  host: "localhost"
  port: 8080
  ssl: true
  timeout: 30
  retries: 3

# Security settings
security:
  auth_required: true
  api_key: ""
  encryption: "AES256"
  verify_ssl: true

# Performance settings
performance:
  cache_enabled: true
  cache_size: "100M"
  cache_dir: "~/.pypykatz/cache"
  max_memory: "1G"

# Monitoring settings
monitoring:
  enabled: true
  interval: 60
  metrics_enabled: true
  alerts_enabled: true

Ejemplos

Corrientes básicas de trabajo

# 1. Initialize pypykatz
pypykatz init

# 2. Configure basic settings
pypykatz config set host example.com
pypykatz config set port 8080

# 3. Start service
pypykatz start

# 4. Check status
pypykatz status

# 5. Perform operations
pypykatz run --target example.com

# 6. View results
pypykatz results

# 7. Stop service
pypykatz stop

Avanzado flujo de trabajo

# Comprehensive operation with monitoring
pypykatz run \
  --config production.yaml \
  --parallel \
  --workers 8 \
  --verbose \
  --timeout 300 \
  --output json \
  --log-file operation.log

# Monitor in real-time
pypykatz monitor --real-time --interval 5

# Generate report
pypykatz report --type comprehensive --output report.html

Ejemplo de automatización

#!/bin/bash
# Automated pypykatz workflow

# Configuration
TARGETS_FILE="targets.txt"
RESULTS_DIR="results/$(date +%Y-%m-%d)"
CONFIG_FILE="automation.yaml"

# Create results directory
mkdir -p "$RESULTS_DIR"

# Process each target
while IFS= read -r target; do
    echo "Processing $target..."

    pypykatz \
        --config "$CONFIG_FILE" \
        --output json \
        --output-file "$RESULTS_DIR/$\\\\{target\\\\}.json" \
        run "$target"

done < "$TARGETS_FILE"

# Generate summary report
pypykatz report summary \
    --input "$RESULTS_DIR/*.json" \
    --output "$RESULTS_DIR/summary.html"

Buenas prácticas

Seguridad

• Verifique siempre las sumas de comprobación al descargar los binarios
• Use métodos de autenticación fuertes ( claves de API, certificados)
• Actualización regular a la última versión
• Seguir el principio de mínimo privilegio
• Activación de registros de auditoría para el cumplimiento
• Utilice conexiones encriptadas cuando sea posible
• Validar todas las entradas y configuraciones
• Implementar controles adecuados de acceso

Ejecución

• Use límites de recursos adecuados para su entorno
• Supervisar el rendimiento del sistema regularmente
• Optimize configuración para su caso de uso
• Use procesamiento paralelo cuando sea beneficioso
• Implementar estrategias de caché adecuadas
• Mantenimiento y limpieza regulares
• Botellas de rendimiento del perfil
• Utilice algoritmos y estructuras de datos eficientes

Operaciones

• Mantener documentación completa
• Implementar estrategias de respaldo adecuadas
• Utilice el control de versiones para configuraciones
• Monitor y alerta sobre métricas críticas
• Implementar un correcto manejo de errores
• Utiliza la automatización para tareas repetitivas
• Auditorías y actualizaciones periódicas de seguridad
• Plan de recuperación en casos de desastre

Desarrollo

• Seguir las normas y convenciones de codificación
• Escribir pruebas completas
• Utilización de la integración y el despliegue continuos
• Implementar registros y monitoreo adecuados
• Document APIs and interfaces
• Usar el control de la versión con eficacia
• Código de revisión regularmente
• Mantener la compatibilidad atrasada

Recursos

Documentación oficial

• Sitio web oficial
• Documentación
• API Referencia
• Guía de integración
• Referencia de configuración

Recursos comunitarios

• Repositorio GitHub
• Ssue Tracker
• Foro comunitario
• Discord Server
• Reddit Community
• Stack Overflow

Recursos didácticos

• Obtener la guía inicial
• Sección Tutorial
• Best Practices Guide
• Tutorial de video
• Training Courses
• Programa de certificación

Herramientas relacionadas

• Git - Función complementaria
• Docker - Solución alternativa
• Kubernetes - Socio de integración

-...

Última actualización: 2025-07-06 sometidaeditar en GitHub