Stored Data Manipulation

Detection Strategy for Stored Data Manipulation across OS Platforms.

Restrict File and Directory Permissions: Restricting file and directory permissions involves setting access controls at the file system level to limit which users, groups, or processes can read, write, or execute files. By configuring permissions appropriately, organizations can reduce the attack surface for adversaries seeking to access sensitive data, plant malicious code, or tamper with system files.

Enforce Least Privilege Permissions:

• Remove unnecessary write permissions on sensitive files and directories.
• Use file ownership and groups to control access for specific roles.

Example (Windows): Right-click the shared folder → Properties → Security tab → Adjust permissions for NTFS ACLs.

Harden File Shares:

• Disable anonymous access to shared folders.
• Enforce NTFS permissions for shared folders on Windows.

Example: Set permissions to restrict write access to critical files, such as system executables (e.g., /bin or /sbin on Linux). Use tools like chown and chmod to assign file ownership and limit access.

On Linux, apply: chmod 750 /etc/sensitive.conf chown root:admin /etc/sensitive.conf

File Integrity Monitoring (FIM):

• Use tools like Tripwire, Wazuh, or OSSEC to monitor changes to critical file permissions.

Audit File System Access:

• Enable auditing to track permission changes or unauthorized access attempts.
• Use auditd (Linux) or Event Viewer (Windows) to log activities.

Restrict Startup Directories:

• Configure permissions to prevent unauthorized writes to directories like C:\ProgramData\Microsoft\Windows\Start Menu.

Example: Restrict write access to critical directories like /etc/, /usr/local/, and Windows directories such as C:\Windows\System32.

• On Windows, use icacls to modify permissions: icacls "C:\Windows\System32" /inheritance:r /grant:r SYSTEM:(OI)(CI)F
• On Linux, monitor permissions using tools like lsattr or auditd.

Remote Data Storage: Remote Data Storage focuses on moving critical data, such as security logs and sensitive files, to secure, off-host locations to minimize unauthorized access, tampering, or destruction by adversaries. By leveraging remote storage solutions, organizations enhance the protection of forensic evidence, sensitive information, and monitoring data. This mitigation can be implemented through the following measures:

Centralized Log Management:

• Configure endpoints to forward security logs to a centralized log collector or SIEM.
• Use tools like Splunk Graylog, or Security Onion to aggregate and store logs.
• Example command (Linux): sudo auditd | tee /var/log/audit/audit.log | nc <remote-log-server> 514

Remote File Storage Solutions:

• Utilize cloud storage solutions like AWS S3, Google Cloud Storage, or Azure Blob Storage for sensitive data.
• Ensure proper encryption at rest and access control policies (IAM roles, ACLs).

Intrusion Detection Log Forwarding:

• Forward logs from IDS/IPS systems (e.g., Zeek/Suricata) to a remote security information system.
• Example for Suricata log forwarding: `outputs:
  • type: syslog protocol: tls address: <remote-syslog-server>`

Immutable Backup Configurations:

• Enable immutable storage settings for backups to prevent adversaries from modifying or deleting data.
• Example: AWS S3 Object Lock.

Data Encryption:

• Ensure encryption for sensitive data using AES-256 at rest and TLS 1.2+ for data in transit. Tools: OpenSSL, BitLocker, LUKS for Linux.

Encrypt Sensitive Information: Protect sensitive information at rest, in transit, and during processing by using strong encryption algorithms. Encryption ensures the confidentiality and integrity of data, preventing unauthorized access or tampering. This mitigation can be implemented through the following measures:

Encrypt Data at Rest:

• Use Case: Use full-disk encryption or file-level encryption to secure sensitive data stored on devices.
• Implementation: Implement BitLocker for Windows systems or FileVault for macOS devices to encrypt hard drives.

Encrypt Data in Transit:

• Use Case: Use secure communication protocols (e.g., TLS, HTTPS) to encrypt sensitive data as it travels over networks.
• Implementation: Enable HTTPS for all web applications and configure mail servers to enforce STARTTLS for email encryption.

Encrypt Backups:

• Use Case: Ensure that backup data is encrypted both during storage and transfer to prevent unauthorized access.
• Implementation: Encrypt cloud backups using AES-256 before uploading them to Amazon S3 or Google Cloud.

Encrypt Application Secrets:

• Use Case: Store sensitive credentials, API keys, and configuration files in encrypted vaults.
• Implementation: Use HashiCorp Vault or AWS Secrets Manager to manage and encrypt secrets.

Database Encryption:

• Use Case: Enable Transparent Data Encryption (TDE) or column-level encryption in database management systems.
• Implementation: Use MySQL’s built-in encryption features to encrypt sensitive database fields such as social security numbers.