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…
MITRE mitigation sourceJunk Code Insertion
Adversaries may use junk code / dead code to obfuscate a malware’s functionality. Junk code is code that either does not execute, or if it does execute, does not change the functionality of the code. Junk code makes analysis more difficult and time-consuming, as the analyst steps through non-functional code instead of analyzing the main code. It also may hinder detections that rely on static code analysis due to the use of benign functionality, especially when combined with [Compression](https://attack.mitre.org/techniques/T1027/015) or [Software Packing](https://attack.mitre.org/techniques/T1027/002).(Citation: ReasonLabs)(Citation: ReasonLabs Cyberpedia Junk Code) No-Operation (NOP) instructions are an example of dead code commonly used in x86 assembly language. They are commonly used as the 0x90 opcode. When NOPs are added to malware, the disassembler may show the NOP instructions, leading to the analyst needing to step through them.(Citation: ReasonLabs) The use of junk / dead code insertion is distinct from [Binary Padding](https://attack.mitre.org/techniques/T1027/001) because the purpose is to obfuscate the functionality of the code, rather than simply to change the malware’s signature.
Open in the interactive knowledge mesh
Detection overview
Use the published detection strategies below and validate required telemetry in the target environment.
Observed groups
Cyber Knowledge context
Use these routes to move from the ATT&CK behavior into explanation, implementation, evidence handling, validation, and defensive operations. Relevance is generated from explicit identifiers/names and governed topic mappings; it is not attribution evidence.
Malware Analysis & Reverse Engineering · topic-match · 39/100Family classification, behavior models, YARA, and ATT CK
Malware Analysis & Reverse Engineering · topic-match · 39/100Intake, provenance, and analysis scope
Malware Analysis & Reverse Engineering · topic-match · 30/100Architecture, calling conventions, and assembly literacy
Malware Analysis & Reverse Engineering · topic-match · 30/100Controlled dynamic behavior and differential observation
Malware Analysis & Reverse Engineering · tactic-route · 24/100Module 4 — Detection engineering and detection as code
Blue Team & Defensive Security · tactic-route · 24/100Disk, file-system, and persistence forensics
Digital Forensics & Incident Response (DFIR) · tactic-route · 24/100
MITRE mitigations
MITRE detection strategies and analytics
- AN0913 · Analytic 0913 — Detects the presence of executables with high NOP padding, unusually large binary size for their function, and follow-on execution or memory injection from such files, especially when originating from temp or user-space paths.
- AN0914 · Analytic 0914 — Detects ELF binaries written to disk that demonstrate anomalous file size or entropy, quickly followed by execution or memory region writes into remote processes (e.g., using ptrace).
- AN0915 · Analytic 0915 — Identifies Mach-O binaries dropped into temporary directories with abnormally high binary size or padding patterns, followed by privilege escalation, `exec`, or memory mapping of other processes.