Process Injection
Category: Privilege & Access Control
Severity: Critical
MITRE ATT&CK Mapping: T1055 (Process Injection)
Description
Injecting malicious code into legitimate MCP processes to execute with the privileges of the target process, enabling privilege escalation and system compromise.
Technical Details
Attack Vector
- Process memory manipulation
- Code injection techniques
- Dynamic library injection
- Process hollowing attacks
Common Techniques
- DLL injection
- Process hollowing
- Thread execution hijacking
- Memory patching
Impact
- Privilege Escalation: Executing with target process privileges
- System Compromise: Complete system takeover
- Stealth Execution: Hidden malicious code execution
- Security Bypass: Bypassing security controls
Detection Methods
Process Monitoring
- Monitor process behavior
- Track process injection attempts
- Detect unusual process activities
- Analyze process integrity
Memory Monitoring
- Monitor memory modifications
- Track code injection
- Detect memory manipulation
- Analyze memory integrity
Mitigation Strategies
Process Protection
- Implement process isolation
- Use code signing
- Deploy process monitoring
- Regular integrity checks
Memory Protection
- Implement memory protection
- Use address space layout randomization
- Deploy memory monitoring
- Monitor code execution
Real-World Examples
Example 1: DLL Injection Attack
# Vulnerable process allowing DLL injection
import ctypes
import os
def load_plugin(plugin_path):
# Insufficient validation of plugin path
if os.path.exists(plugin_path):
# Loads arbitrary DLL
library = ctypes.CDLL(plugin_path)
return library.initialize()
# Attacker injects malicious DLL
# plugin_path = "C:\\malicious.dll"
Example 2: Process Memory Manipulation
# Vulnerable process memory handling
import mmap
import struct
class MCPProcessManager:
def __init__(self):
self.processes = {}
def inject_code(self, process_id, code):
# Insufficient validation
if process_id in self.processes:
process = self.processes[process_id]
# Directly writes to process memory
process.memory.write(code)
process.memory.flush()
# Attacker injects malicious code
# code = shellcode_payload
Example 3: Thread Hijacking
# Vulnerable thread management
import threading
class MCPThreadManager:
def __init__(self):
self.threads = {}
def create_thread(self, thread_id, target_function):
# Insufficient validation of target function
thread = threading.Thread(target=target_function)
self.threads[thread_id] = thread
thread.start()
def hijack_thread(self, thread_id, new_function):
# Vulnerable: allows thread hijacking
if thread_id in self.threads:
thread = self.threads[thread_id]
# Modifies thread execution
thread._target = new_function
# Attacker hijacks legitimate thread
# new_function = malicious_payload
References & Sources
- Academic Paper - “Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions”
- Strobes Security - “MCP and Its Critical Vulnerabilities”
Related TTPs
Process injection represents a critical attack technique that can completely compromise system security by executing malicious code with legitimate process privileges.