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Attack Patterns T1565.002 — Transmitted Data Manipulation
T1565.002

Transmitted Data Manipulation

Impact
TLP:CLEAR

Description

Adversaries may alter data en route to storage or other systems in order to manipulate external outcomes or hide activity, thus threatening the integrity of the data.(Citation: FireEye APT38 Oct 2018)(Citation: DOJ Lazarus Sony 2018) By manipulating transmitted data, adversaries may attempt to affect a business process, organizational understanding, and decision making. Manipulation may be possible over a network connection or between system processes where there is an opportunity deploy a tool that will intercept and change information. The type of modification and the impact it will have depends on the target transmission mechanism 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.

MITRE ATT&CK Detection Strategies
1

DET0254 Detection Strategy of Transmitted Data Manipulation
AN0702 Windows

Monitor for anomalies in transmitted data streams, including mismatched file integrity checks, API interception, or man-in-the-middle modifications. Detect unexpected use of APIs that handle network I/O where transmitted data integrity could be manipulated.

WinEventLog:Sysmon WinEventLog:Sysmon
AN0703 Linux

Detect alterations of transmitted data via monitoring syscalls (`send`, `recv`, `write`) or middleware interception. Identify mismatched file hashes when compared at origin vs. destination. Watch for anomalous activity from processes interacting with secure transmission services (e.g., OpenSSL, scp).

auditd:SYSCALL linux:syslog
AN0704 macOS

Monitor system APIs such as CFNetwork and SecureTransport for anomalies in transmitted data streams. Detect mismatches in file hashes or SSL/TLS downgrade attempts that enable manipulation of transmitted data.

macos:unifiedlog macos:osquery

MITRE ATT&CK Mitigations
1

M1041

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.

Details

Platforms
Linux
Macos
Windows
Added
May 2, 2026
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