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Attack Patterns T1027.015 — Compression
T1027.015

Compression

Stealth
TLP:CLEAR

Description

Adversaries may use compression to obfuscate their payloads or files. Compressed file formats such as ZIP, gzip, 7z, and RAR can compress and archive multiple files together to make it easier and faster to transfer files. In addition to compressing files, adversaries may also compress shellcode directly - for example, in order to store it in a Windows Registry key (i.e., Fileless Storage).(Citation: Trustwave Pillowmint June 2020) In order to further evade detection, adversaries may combine multiple ZIP files into one archive. This process of concatenation creates an archive that appears to be a single archive but in fact contains the central directories of the embedded archives. Some ZIP readers, such as 7zip, may not be able to identify concatenated ZIP files and miss the presence of the malicious payload.(Citation: Perception Point) File archives may be sent as one Spearphishing Attachment through email. Adversaries have sent malicious payloads as archived files to encourage the user to interact with and extract the malicious payload onto their system (i.e., Malicious File).(Citation: NTT Security Flagpro new December 2021) However, some file compression tools, such as 7zip, can be used to produce self-extracting archives. Adversaries may send self-extracting archives to hide the functionality of their payload and launch it without requiring multiple actions from the user.(Citation: The Hacker News) Compression may be used in combination with Encrypted/Encoded File where compressed files are encrypted and password-protected.

MITRE ATT&CK Detection Strategies
1

DET0281 Detection Strategy for Compressed Payload Creation and Execution
AN0782 Windows

Monitors for compression tool usage (e.g., 7zip, WinRAR, MakeCab) that follows or precedes file modification, suspicious file types (e.g., .exe, .dll) being compressed, or dropped from self-extracting archives followed by immediate execution.

WinEventLog:Sysmon WinEventLog:Sysmon
AN0783 Linux

Detects sequential command-line compression utilities (e.g., gzip, tar, zip, 7z) followed by execution of unpacked files, especially in temp directories or under non-standard locations like /dev/shm or /tmp with ELF binaries.

auditd:SYSCALL auditd:SYSCALL auditd:SYSCALL auditd:SYSCALL
AN0784 macOS

Identifies archive utilities (e.g., ditto, unzip, xar, pkgutil) used to extract payloads to non-standard paths, then correlates with execution or file permission changes (e.g., `chmod +x`) and process spawns from decompressed location.

macos:unifiedlog macos:unifiedlog fs:fsusage

MITRE ATT&CK Mitigations
1

M1049

Antivirus/Antimalware

Antivirus/Antimalware solutions utilize signatures, heuristics, and behavioral analysis to detect, block, and remediate malicious software, including viruses, trojans, ransomware, and spyware. These solutions continuously monitor endpoints and systems for known malicious patterns and suspicious behaviors that indicate compromise. Antivirus/Antimalware software should be deployed across all devices, with automated updates to ensure protection against the latest threats. This mitigation can be implemented through the following measures: Signature-Based Detection: - Implementation: Use predefined signatures to identify known malware based on unique patterns such as file hashes, byte sequences, or command-line arguments. This method is effective against known threats. - Use Case: When malware like "Emotet" is detected, its signature (such as a specific file hash) matches a known database of malicious software, triggering an alert and allowing immediate quarantine of the infected file. Heuristic-Based Detection: - Implementation: Deploy heuristic algorithms that analyze behavior and characteristics of files and processes to identify potential malware, even if it doesn’t match a known signature. - Use Case: If a program attempts to modify multiple critical system files or initiate suspicious network communications, heuristic analysis may flag it as potentially malicious, even if no specific malware signature is available. Behavioral Detection (Behavior Prevention): - Implementation: Use behavioral analysis to detect patterns of abnormal activities, such as unusual system calls, unauthorized file encryption, or attempts to escalate privileges. - Use Case: Behavioral analysis can detect ransomware attacks early by identifying behavior like mass file encryption, even before a specific ransomware signature has been identified. Real-Time Scanning: - Implementation: Enable real-time scanning to automatically inspect files and network traffic for signs of malware as they are accessed, downloaded, or executed. - Use Case: When a user downloads an email attachment, the antivirus solution scans the file in real-time, checking it against both signatures and heuristics to detect any malicious content before it can be opened. Cloud-Assisted Threat Intelligence: - Implementation: Use cloud-based threat intelligence to ensure the antivirus solution can access the latest malware definitions and real-time threat feeds from a global database of emerging threats. - Use Case: Cloud-assisted antivirus solutions quickly identify newly discovered malware by cross-referencing against global threat databases, providing real-time protection against zero-day attacks. **Tools for Implementation**: - Endpoint Security Platforms: Use solutions such as EDR for comprehensive antivirus/antimalware protection across all systems. - Centralized Management: Implement centralized antivirus management consoles that provide visibility into threat activity, enable policy enforcement, and automate updates. - Behavioral Analysis Tools: Leverage solutions with advanced behavioral analysis capabilities to detect malicious activity patterns that don’t rely on known signatures.

Details

Platforms
Linux
Macos
Windows
Added
May 2, 2026
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