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  1. Frameworks
  2. >ATTACK
  3. >Impact
  4. >ATTACK-T1565
ATTACK-T1565Active

Data Manipulation

Statement

Adversaries may insert, delete, or manipulate data in order to influence external outcomes or hide activity, thus threatening the integrity of the data.(Citation: Sygnia Elephant Beetle Jan 2022) By manipulating data, adversaries may attempt to affect a business process, organizational understanding, or decision making.

The type of modification and the impact it will have depends on the target application and process as well as the goals and objectives of the adversary. For complex systems, an adversary would likely need special expertise and possibly access to specialized software related to the system that would typically be gained through a prolonged information gathering campaign in order to have the desired impact.

Location

Tactic
Impact

Technique Details

Identifier
ATTACK-T1565
ATT&CK Page
View on MITRE

Tactics

Impact

Platforms

LinuxmacOSWindows

Detection

Detection Strategy for Data Manipulation

Mitigations

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.

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.

Network Segmentation: Network segmentation involves dividing a network into smaller, isolated segments to control and limit the flow of traffic between devices, systems, and applications. By segmenting networks, organizations can reduce the attack surface, restrict lateral movement by adversaries, and protect critical assets from compromise.

Effective network segmentation leverages a combination of physical boundaries, logical separation through VLANs, and access control policies enforced by network appliances like firewalls, routers, and cloud-based configurations. This mitigation can be implemented through the following measures:

Segment Critical Systems:

  • Identify and group systems based on their function, sensitivity, and risk. Examples include payment systems, HR databases, production systems, and internet-facing servers.
  • Use VLANs, firewalls, or routers to enforce logical separation.

Implement DMZ for Public-Facing Services:

  • Host web servers, DNS servers, and email servers in a DMZ to limit their access to internal systems.
  • Apply strict firewall rules to filter traffic between the DMZ and internal networks.

Use Cloud-Based Segmentation:

  • In cloud environments, use VPCs, subnets, and security groups to isolate applications and enforce traffic rules.
  • Apply AWS Transit Gateway or Azure VNet peering for controlled connectivity between cloud segments.

Apply Microsegmentation for Workloads:

  • Use software-defined networking (SDN) tools to implement workload-level segmentation and prevent lateral movement.

Restrict Traffic with ACLs and Firewalls:

  • Apply Access Control Lists (ACLs) to network devices to enforce "deny by default" policies.
  • Use firewalls to restrict both north-south (external-internal) and east-west (internal-internal) traffic.

Monitor and Audit Segmented Networks:

  • Regularly review firewall rules, ACLs, and segmentation policies.
  • Monitor network flows for anomalies to ensure segmentation is effective.

Test Segmentation Effectiveness:

  • Perform periodic penetration tests to verify that unauthorized access is blocked between network segments.

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.
SP 800-53
SP800-53-AC-16relatedvia ctid-attack-to-sp800-53
SP800-53-AC-17relatedvia ctid-attack-to-sp800-53
SP800-53-AC-18relatedvia ctid-attack-to-sp800-53
SP800-53-AC-19relatedvia ctid-attack-to-sp800-53
SP800-53-AC-20relatedvia ctid-attack-to-sp800-53
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← Back to Impact
Impact33 controls
ATTACK-T1485Data DestructionATTACK-T1485.001Lifecycle-Triggered DeletionATTACK-T1486Data Encrypted for ImpactATTACK-T1489Service StopATTACK-T1490Inhibit System RecoveryATTACK-T1491DefacementATTACK-T1491.001Internal DefacementATTACK-T1491.002External DefacementATTACK-T1495Firmware CorruptionATTACK-T1496Resource HijackingATTACK-T1496.001Compute HijackingATTACK-T1496.002Bandwidth HijackingATTACK-T1496.003SMS PumpingATTACK-T1496.004Cloud Service HijackingATTACK-T1498Network Denial of ServiceATTACK-T1498.001Direct Network FloodATTACK-T1498.002Reflection AmplificationATTACK-T1499Endpoint Denial of ServiceATTACK-T1499.001OS Exhaustion FloodATTACK-T1499.002Service Exhaustion FloodATTACK-T1499.003Application Exhaustion FloodATTACK-T1499.004Application or System ExploitationATTACK-T1529System Shutdown/RebootATTACK-T1531Account Access RemovalATTACK-T1561Disk WipeATTACK-T1561.001Disk Content WipeATTACK-T1561.002Disk Structure WipeATTACK-T1565Data ManipulationATTACK-T1565.001Stored Data ManipulationATTACK-T1565.002Transmitted Data ManipulationATTACK-T1565.003Runtime Data ManipulationATTACK-T1657Financial TheftATTACK-T1667Email Bombing