Skip to main content Accueil Créateurs yanacuti1121 yana-ai performing-service-account-credential-rotation
performing-service-account-credential-rotation Automate credential rotation for service accounts across Active Directory, cloud platforms, and application databases to eliminate stale secrets and reduce compromise risk.
Aller à l'installation Skills Marketplace Découvrez et explorez les compétences IA créées par la communauté.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Afficher les détails du prompt Une commande directe contourne le prompt de vérification. Examinez la source avant de l'exécuter.
npx skills add https://github.com/yanacuti1121/Yana-AI --skill performing-service-account-credential-rotationLa commande reste sur une seule ligne. Faites défiler horizontalement pour la vérifier avant de la copier.
Vous préférez une copie locale ? Téléchargez les fichiers actuellement disponibles dans SkillsMP.
Télécharger Zip Téléchargement... Plus depuis ce dépôt Sovereign-grade safety OS for AI coding agents. 62 hooks, 2,025 skills, L1 memory, circuit breakers, and cross-engine enforcement — blocks rm -rf, force push, pipe-to-shell, and 40+ attack vectors before they reach your repo.
Use when the user wants to generate or keep repository documentation up to date via OpenWiki (langchain-ai/openwiki) — an LLM-driven CLI that writes a wiki for a codebase (or a personal knowledge base from Notion/Gmail/Slack/X/web search) and keeps it fresh via a scheduled CI pull request. Examples: "set up OpenWiki for this repo", "keep the docs updated automatically", "generate an agent wiki".
augmented-reality-from-scratch Use when implementing the core AR pipeline (camera pose estimation, marker tracking, projection overlay) from first principles — not when just using ARKit/ARCore/Unity's AR framework as a black box. Triggers on: 'build augmented reality from scratch', 'marker-based AR tracking', 'camera pose estimation', 'implement fiducial marker detection', 'AR projection matrix math', 'markerless AR tracking'. Covers marker-based vs markerless tracking, pose estimation, and the projection math to overlay 3D content on a camera feed.
Métiers associés SOC
Basé sur la classification professionnelle SOC
Explorateur de fichiers
8 fichiers name performing-service-account-credential-rotation description Automate credential rotation for service accounts across Active Directory, cloud platforms, and application databases to eliminate stale secrets and reduce compromise risk. domain cybersecurity subdomain identity-access-management tags ["service-accounts","credential-rotation","secrets-management","pam","automation","vault"] version 1.0 author mahipal license Apache-2.0 nist_csf ["PR.AA-01","PR.AA-02","PR.AA-05","PR.AA-06"] mitre_attack ["T1078","T1110","T1556","T1098","T1003"] source https://github.com/mukul975/Anthropic-Cybersecurity-Skills source_commit 04450304b12645cb2b974ab96d28c0664758a88d
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
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
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" )
new_key = iam.create_access_key(UserName=iam_username)
new_access_key = new_key["AccessKey" ]["AccessKeyId" ]
new_secret_key = new_key["AccessKey" ]["SecretAccessKey" ]
sm.put_secret_value(
SecretId=secret_arn,
SecretString=json.dumps({
"accessKeyId" : new_access_key,
"secretAccessKey" : new_secret_key,
"username" : iam_username,
})
)
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)
client.sys.enable_secrets_engine(
backend_type="database" ,
path="database"
)
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" ],
)
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
References 