analyzing-malware-sandbox-evasion-techniques

1# Analyzing Malware Sandbox Evasion Techniques
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3## Overview
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5Sandbox evasion (MITRE ATT&CK T1497) allows malware to detect analysis environments and alter behavior to avoid detection. This skill analyzes behavioral reports from Cuckoo Sandbox and AnyRun for evasion indicators including timing-based checks (GetTickCount, QueryPerformanceCounter, sleep inflation), VM artifact detection (registry keys, MAC address prefixes, process names like vmtoolsd.exe), user interaction checks (mouse movement, keyboard input), and environment fingerprinting (disk size, CPU count, RAM). Detection rules flag samples exhibiting these behaviors for deeper manual analysis.
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8## When to Use
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10- When investigating security incidents that require analyzing malware sandbox evasion techniques
11- When building detection rules or threat hunting queries for this domain
12- When SOC analysts need structured procedures for this analysis type
13- When validating security monitoring coverage for related attack techniques
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15## Prerequisites
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17- Cuckoo Sandbox 2.0+ or AnyRun account for behavioral analysis reports
18- Python 3.8+ with json library for report parsing
19- Behavioral report exports in JSON format
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21## Steps
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231. Parse Cuckoo/AnyRun behavioral report JSON files
242. Extract API call sequences for timing-related functions
253. Identify VM artifact detection via registry queries and WMI calls
264. Detect sleep inflation by comparing requested vs actual sleep durations
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