AWS Security Group Auditor
Supports auditing across multiple AWS accounts in an organization via assumed roles, enabling comprehensive security group analysis.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@AWS Security Group Auditoraudit security groups in us-west-2"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AWS Security Group Auditor
Audits AWS Security Groups for dangerous configurations. Detects publicly exposed critical ports (SSH, RDP, databases) and provides remediation commands.
Features
Automated detection of dangerous rules (0.0.0.0/0 on critical ports)
Optional AI analysis via Claude
Markdown reports with remediation commands
MCP server for Claude Desktop integration
Risk prioritization (Critical, High, Medium)
Related MCP server: AWS MCP Audit
Detection Rules
Port 22 (SSH) open to Internet
Port 3389 (RDP) open to Internet
Database ports (3306, 5432, 27017) exposed
Protocol -1 (all traffic) open to 0.0.0.0/0
Administrative and internal services publicly exposed
Requirements
Python 3.10+
AWS credentials (via AWS CLI or environment variables)
Anthropic API key (optional, for AI analysis only)
Installation
# Clone or download repository
cd sg-auditor
# Create virtual environment with Python 3.10+
python3.11 -m venv venv
source venv/bin/activate
# Install dependencies
pip install -r requirements.txtAWS Configuration
Option 1: AWS CLI (recommended)
aws configureOption 2: Environment variables
export AWS_ACCESS_KEY_ID="your_key"
export AWS_SECRET_ACCESS_KEY="your_secret"
export AWS_DEFAULT_REGION="us-east-1"Optional: Claude AI Analysis
Create .env file for AI-powered analysis:
ANTHROPIC_API_KEY=sk-ant-xxxGet your API key at console.anthropic.com
Usage
CLI
# Audit default region
python audit.py
# Audit specific region
python audit.py --region us-west-2
# Skip AI analysis
python audit.py --no-ai
# Custom output directory
python audit.py --output-dir /path/to/reportsExit codes: 0 (clean), 1 (high severity), 2 (critical severity)
MCP Server (Claude Desktop Integration)
Configure in ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"security-group-auditor": {
"command": "/path/to/sg-auditor/venv/bin/python",
"args": ["/path/to/sg-auditor/src/mcp_server.py"]
}
}
}Restart Claude Desktop. Available tools:
scan_security_groups- Scan all Security Groups in a regionanalyze_specific_group- Analyze specific Security Group by IDget_risk_summary- Get risk information
Python Library
from src.audit_core import run_audit
result = run_audit(region='us-east-1')
print(f"Findings: {result['summary']['total_findings']}")Architecture
sg-auditor/
├── audit.py # CLI entry point
├── requirements.txt # Python dependencies
├── src/
│ ├── audit_core.py # Core audit logic (shared)
│ ├── sg_collector.py # AWS Security Group collector (boto3)
│ ├── rule_analyzer.py # Dangerous rule detector
│ ├── ai_agent.py # Optional AI analysis (CLI only)
│ ├── mcp_server.py # MCP server (Claude Desktop)
│ └── report_generator.py # Markdown report generator
└── reports/ # Generated audit reportsDesign:
audit_core.pycontains shared logic used by both CLI and MCP serverai_agent.pyis only used by CLI tool (MCP returns raw findings for Claude to analyze)mcp_server.pyexposes tools via Model Context Protocol for AI agents
AWS Permissions
Required IAM permissions (read-only):
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": [
"ec2:DescribeSecurityGroups",
"ec2:DescribeRegions"
],
"Resource": "*"
}]
}The auditor never modifies AWS resources.
Advanced Usage
CI/CD Integration
python audit.py --region us-east-1 --no-ai
if [ $? -eq 2 ]; then
echo "CRITICAL findings - blocking deployment"
exit 1
fiMulti-Region Audit
for region in us-east-1 us-west-2 eu-west-1; do
python audit.py --region $region
doneAWS Organizations
Use assumed roles in src/sg_collector.py:
sts = boto3.client('sts')
assumed_role = sts.assume_role(
RoleArn='arn:aws:iam::ACCOUNT_ID:role/SecurityAuditor',
RoleSessionName='SecurityAudit'
)
credentials = assumed_role['Credentials']
self.ec2_client = boto3.client(
'ec2',
aws_access_key_id=credentials['AccessKeyId'],
aws_secret_access_key=credentials['SecretAccessKey'],
aws_session_token=credentials['SessionToken']
)Customization
Custom Ports
Edit src/rule_analyzer.py to add custom ports:
CRITICAL_PORTS = {
22: "SSH",
3389: "RDP",
8080: "Custom Application",
}Cost
Claude AI analysis (optional):
5,000 tokens per audit ($0.10 USD)Use
--no-aiflag to skip AI analysis
Resources
License
MIT
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Maintenance
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