Adversaries may modify the lifecycle policies of a cloud storage bucket to destroy all objects stored within. Cloud storage buckets often allow users to set lifecycle policies to automate the migration, archival, or deletion of objects after a set period of time.(Citation: AWS Storage Lifecycles)(Citation: GCP Storage Lifecycles)(Citation: Azure Storage Lifecycles) If a threat actor has sufficient permissions to modify these policies, they may be able to delete all objects at once. For example, in AWS environments, an adversary with the `PutLifecycleConfiguration` permission may use the `PutBucketLifecycle` API call to apply a lifecycle policy to an S3 bucket that deletes all objects in the bucket after one day.(Citation: Palo Alto Cloud Ransomware)(Citation: Halcyon AWS Ransomware 2025) In addition to destroying data for purposes of extortion and Financial Theft, adversaries may also perform this action on buckets storing cloud logs for Indicator Removal.(Citation: Datadog S3 Lifecycle CloudTrail Logs)
Adversary with write access to storage modifies lifecycle policies (e.g., via PutBucketLifecycle) to schedule rapid object deletion across one or more storage buckets. This is often used to trigger impact (destruction), remove logs (defense evasion), or force extortion (ransomware).
User Account Management
User Account Management involves implementing and enforcing policies for the lifecycle of user accounts, including creation, modification, and deactivation. Proper account management reduces the attack surface by limiting unauthorized access, managing account privileges, and ensuring accounts are used according to organizational policies. This mitigation can be implemented through the following measures: Enforcing the Principle of Least Privilege - Implementation: Assign users only the minimum permissions required to perform their job functions. Regularly audit accounts to ensure no excess permissions are granted. - Use Case: Reduces the risk of privilege escalation by ensuring accounts cannot perform unauthorized actions. Implementing Strong Password Policies - Implementation: Enforce password complexity requirements (e.g., length, character types). Require password expiration every 90 days and disallow password reuse. - Use Case: Prevents adversaries from gaining unauthorized access through password guessing or brute force attacks. Managing Dormant and Orphaned Accounts - Implementation: Implement automated workflows to disable accounts after a set period of inactivity (e.g., 30 days). Remove orphaned accounts (e.g., accounts without an assigned owner) during regular account audits. - Use Case: Eliminates dormant accounts that could be exploited by attackers. Account Lockout Policies - Implementation: Configure account lockout thresholds (e.g., lock accounts after five failed login attempts). Set lockout durations to a minimum of 15 minutes. - Use Case: Mitigates automated attack techniques that rely on repeated login attempts. Multi-Factor Authentication (MFA) for High-Risk Accounts - Implementation: Require MFA for all administrative accounts and high-risk users. Use MFA mechanisms like hardware tokens, authenticator apps, or biometrics. - Use Case: Prevents unauthorized access, even if credentials are stolen. Restricting Interactive Logins - Implementation: Restrict interactive logins for privileged accounts to specific secure systems or management consoles. Use group policies to enforce logon restrictions. - Use Case: Protects sensitive accounts from misuse or exploitation. *Tools for Implementation* Built-in Tools: - Microsoft Active Directory (AD): Centralized account management and RBAC enforcement. - Group Policy Object (GPO): Enforce password policies, logon restrictions, and account lockout policies. Identity and Access Management (IAM) Tools: - Okta: Centralized user provisioning, MFA, and SSO integration. - Microsoft Azure Active Directory: Provides advanced account lifecycle management, role-based access, and conditional access policies. Privileged Account Management (PAM): - CyberArk, BeyondTrust, Thycotic: Manage and monitor privileged account usage, enforce session recording, and JIT access.
Data Backup
Data Backup involves taking and securely storing backups of data from end-user systems and critical servers. It ensures that data remains available in the event of system compromise, ransomware attacks, or other disruptions. Backup processes should include hardening backup systems, implementing secure storage solutions, and keeping backups isolated from the corporate network to prevent compromise during active incidents. This mitigation can be implemented through the following measures: Regular Backup Scheduling: - Use Case: Ensure timely and consistent backups of critical data. - Implementation: Schedule daily incremental backups and weekly full backups for all critical servers and systems. Immutable Backups: - Use Case: Protect backups from modification or deletion, even by attackers. - Implementation: Use write-once-read-many (WORM) storage for backups, preventing ransomware from encrypting or deleting backup files. Backup Encryption: - Use Case: Protect data integrity and confidentiality during transit and storage. - Implementation: Encrypt backups using strong encryption protocols (e.g., AES-256) before storing them in local, cloud, or remote locations. Offsite Backup Storage: - Use Case: Ensure data availability during physical disasters or onsite breaches. - Implementation: Use cloud-based solutions like AWS S3, Azure Backup, or physical offsite storage to maintain a copy of critical data. Backup Testing: - Use Case: Validate backup integrity and ensure recoverability. - Implementation: Regularly test data restoration processes to ensure that backups are not corrupted and can be recovered quickly.