external/anthropic-cybersecurity-skills/skills/performing-service-account-credential-rotation/SKILL.md
Automate credential rotation for service accounts across Active Directory, cloud platforms, and application databases to eliminate stale secrets and reduce compromise risk.
npx skillsauth add seikaikyo/dash-skills performing-service-account-credential-rotationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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.
| Type | Platform | Credential | Rotation Method | |------|----------|-----------|-----------------| | Active Directory Service Account | Windows/AD | Password | gMSA (automatic) or PAM-managed | | AWS IAM User | AWS | Access Key/Secret Key | AWS Secrets Manager rotation Lambda | | GCP Service Account | GCP | JSON key file | Key rotation via IAM API | | Azure Service Principal | Azure | Client secret/certificate | Key Vault + rotation policy | | Database Service Account | SQL/Oracle/Postgres | Password | Vault dynamic secrets | | API Key | SaaS applications | API token | Application-specific API |
Windows gMSAs provide automatic password management by Active Directory:
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)
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
# 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$
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}
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"]}
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
development
拋棄式 HTML mockup 比稿:產出 2 到 3 個設計立場不同的變體(密度 / 版式 / 強調軸,不是換色),各附取捨說明,最後給有立場的對比結論。適用:「畫個草圖」「比較 A 版 B 版」「先看方向再做」「給我看幾種做法」。要 production 元件或設計已定案時不適用。
tools
需求不明時的意圖萃取訪談:一次一題、每題附上自己的猜測、聽出「真正想要 vs 覺得應該要」,直到能預測使用者反應(約 95% 信心)才動工。適用:需求缺少對象 / 動機 / 成功標準 / 約束,或使用者點名「訪談我」「先確認一下」「我們確定嗎」。明確自足的指示、純資訊查詢、機械性操作不適用。
development
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testing
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