mcpField
P
performing-service-account-credential-rotation

performing-service-account-credential-rotation

github.com/mukul975Security35.2k64 installsUpdated 8w ago
Repository

About performing-service-account-credential-rotation

A security skill for planning and carrying out service account credential rotations across directory, cloud, and application systems. It covers account inventory, rotation approaches, dependency coordination, and post-change health checks.

Key features

  1. 01服务账户盘点与依赖映射
  2. 02gMSA 自动密码管理
  3. 03云访问密钥轮换
  4. 04Vault 数据库凭证轮换
  5. 05轮换后健康检查

Use cases

  1. 01安排服务账户的定期轮换
  2. 02应对凭证泄露事件
  3. 03验证轮换后的服务连续性

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill performing-service-account-credential-rotation

After installing, type/performing-service-account-credential-rotationin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

LICENSE
assets/
template.md
references/
api-reference.md
standards.md
workflows.md
scripts/
agent.py
process.py

Details

From the project README

Performing Service Account Credential Rotation

Overview

Service accounts are non-human identities used by applications, daemons, CI/CD pipelines, and automated processes to authenticate to systems and APIs. These accounts often have elevated privileges and their credentials (passwords, API keys, certificates, tokens) are frequently long-lived and shared across teams, making them prime targets for attackers. Credential rotation is the systematic process of replacing these secrets on a scheduled basis, propagating new credentials to all dependent systems, and verifying service continuity after rotation.

When to Use

  • When conducting security assessments that involve performing service account credential rotation
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Inventory of all service accounts across AD, cloud, and applications
  • Secrets management platform (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or CyberArk)
  • Service dependency mapping (which services use which credentials)
  • Change management process for rotation windows
  • Monitoring for service health post-rotation

Core Concepts

Service Account Types
TypePlatformCredentialRotation Method
Active Directory Service AccountWindows/ADPasswordgMSA (automatic) or PAM-managed
AWS IAM UserAWSAccess Key/Secret KeyAWS Secrets Manager rotation Lambda
GCP Service AccountGCPJSON key fileKey rotation via IAM API
Azure Service PrincipalAzureClient secret/certificateKey Vault + rotation policy
Database Service AccountSQL/Oracle/PostgresPasswordVault dynamic secrets
API KeySaaS applicationsAPI tokenApplication-specific API
Group Managed Service Accounts (gMSA)

Windows gMSAs provide automatic password management by Active Directory:

  • AD automatically rotates the password every 30 days
  • Password is 240 bytes, cryptographically random
  • Multiple servers can use the same gMSA simultaneously
  • No administrator knows or manages the password
  • Eliminates manual rotation for Windows services
Rotation Architecture
Secrets Manager / Vault
        │
        ├── Rotation Trigger (schedule or on-demand)
        │
        ├── Generate new credential
        │
        ├── Update credential at source (AD, cloud IAM, database)
        │
        ├── Update credential in all consumers:
        │   ├── Application configuration
        │   ├── CI/CD pipeline secrets
        │   ├── Kubernetes secrets
        │   └── Other dependent services
        │
        ├── Verify service health
        │   ├── Health check endpoints
        │   ├── Authentication test
        │   └── Functional smoke test
        │
        └── Revoke old credential (after grace period)

Workflow

Step 1: Discover and Inventory Service Accounts

Enumerate all service accounts and their dependencies:

# Active Directory: Find all service accounts
Get-ADServiceAccount -Filter * -Properties *
Get-ADUser -Filter {ServicePrincipalName -ne "$null"} -Properties ServicePrincipalName,PasswordLastSet,LastLogonDate

# Find accounts with passwords older than 90 days
$threshold = (Get-Date).AddDays(-90)
Get-ADUser -Filter {PasswordLastSet -lt $threshold -and Enabled -eq $true} -Properties PasswordLastSet,ServicePrincipalName |
    Where-Object {$_.ServicePrincipalName} |
    Select-Object Name, PasswordLastSet, ServicePrincipalName
Step 2: Implement gMSA for Windows Services
# Create KDS Root Key (one-time, domain-wide)
Add-KdsRootKey -EffectiveImmediately

# Create the gMSA account
New-ADServiceAccount -Name "svc-webapp-gmsa" `
    -DNSHostName "svc-webapp-gmsa.corp.example.com" `
    -PrincipalsAllowedToRetrieveManagedPassword "WebServerGroup" `
    -KerberosEncryptionType AES128,AES256

# Install on target server
Install-ADServiceAccount -Identity "svc-webapp-gmsa"

# Test the account
Test-ADServiceAccount -Identity "svc-webapp-gmsa"

# Configure IIS Application Pool to use gMSA
# Set identity to: CORP\svc-webapp-gmsa$
Step 3: AWS Access Key Rotation with Secrets Manager
import boto3
import json

def rotate_iam_access_key(secret_arn, iam_username):
    """Rotate an IAM user's access key via Secrets Manager."""
    iam = boto3.client("iam")
    sm = boto3.client("secretsmanager")

    # Create new access key
    new_key = iam.create_access_key(UserName=iam_username)
    new_access_key = new_key["AccessKey"]["AccessKeyId"]
    new_secret_key = new_key["AccessKey"]["SecretAccessKey"]

    # Store new credentials in Secrets Manager
    sm.put_secret_value(
        SecretId=secret_arn,
        SecretString=json.dumps({
            "accessKeyId": new_access_key,
            "secretAccessKey": new_secret_key,
            "username": iam_username,
        })
    )

    # List old access keys and deactivate them
    keys = iam.list_access_keys(UserName=iam_username)
    for key in keys["AccessKeyMetadata"]:
        if key["AccessKeyId"] != new_access_key and key["Status"] == "Active":
            iam.update_access_key(
                UserName=iam_username,
                AccessKeyId=key["AccessKeyId"],
                Status="Inactive"
            )

    return {"new_key_id": new_access_key, "old_keys_deactivated": True}
Step 4: Database Credential Rotation with Vault
import hvac

def configure_vault_database_rotation(vault_url, vault_token, db_config):
    """Configure HashiCorp Vault for automatic database credential rotation."""
    client = hvac.Client(url=vault_url, token=vault_token)

    # Enable database secrets engine
    client.sys.enable_secrets_engine(
        backend_type="database",
        path="database"
    )

    # Configure database connection
    client.secrets.database.configure(
        name=db_config["name"],
        plugin_name="postgresql-database-plugin",
        connection_url=f"postgresql://{{{{username}}}}:{{{{password}}}}@"
                       f"{db_config['host']}:{db_config['port']}/{db_config['database']}",
        allowed_roles=[db_config["role_name"]],
        username=db_config["admin_user"],
        password=db_config["admin_password"],
    )

    # Create a role for dynamic credentials
    client.secrets.database.create_role(
        name=db_config["role_name"],
        db_name=db_config["name"],
        creation_statements=[
            "CREATE ROLE \"{{name}}\" WITH LOGIN PASSWORD '{{password}}' VALID UNTIL '{{expiration}}';",
            f"GRANT SELECT, INSERT, UPDATE, DELETE ON ALL TABLES IN SCHEMA public TO \"{{{{name}}}}\";"
        ],
        default_ttl="1h",
        max_ttl="24h",
    )

    return {"status": "configured", "role": db_config["role_name"]}
Step 5: Post-Rotation Verification

After every rotation, verify service continuity:

import requests
import time

def verify_service_health(service_endpoints, max_retries=3, delay=10):
    """Check that services are healthy after credential rotation."""
    results = []
    for endpoint in service_endpoints:
        for attempt in range(max_retries):
            try:
                response = requests.get(
                    endpoint["health_url"],
                    timeout=10,
                    headers=endpoint.get("headers", {})
                )
                healthy = response.status_code == 200
                results.append({
                    "service": endpoint["name"],
                    "status": "healthy" if healthy else f"unhealthy ({response.status_code})",
                    "attempt": attempt + 1,
                })
                if healthy:
                    break
            except requests.RequestException as e:
                results.append({
                    "service": endpoint["name"],
                    "status": f"error: {str(e)}",
                    "attempt": attempt + 1,
                })
            if attempt < max_retries - 1:
                time.sleep(delay)

    return results

Validation Checklist

  • Complete inventory of service accounts with dependency mapping
  • gMSA implemented for all eligible Windows service accounts
  • Cloud access keys rotated via secrets manager (AWS, GCP, Azure)
  • Database credentials managed via dynamic secrets (Vault) or rotation policy
  • Rotation schedule defined (30-90 days depending on risk level)
  • Post-rotation health checks automated
  • Alerting configured for rotation failures
  • Old credentials revoked after grace period
  • Rotation events logged and auditable
  • Rollback procedure documented and tested

References

Comments

Markdown supported