Mapped every skill to NIST CSF 2.0 subcategory IDs (GV/ID/PR/DE/RS/RC functions)
based on subdomain and content analysis. Restores 11 skills corrupted during
prior rebase, re-enriching with ATLAS, D3FEND, NIST AI RMF, and CSF 2.0 fields.
All 754 skills now carry structured mappings for all 5 security frameworks:
- MITRE ATT&CK (in tags)
- MITRE ATLAS v5.5 (atlas_techniques)
- MITRE D3FEND v1.3 (d3fend_techniques)
- NIST AI RMF 1.0 (nist_ai_rmf)
- NIST CSF 2.0 (nist_csf)
Detect sandbox evasion techniques in malware samples by analyzing timing checks, VM artifact queries, user interaction detection, and sleep inflation patterns from Cuckoo/AnyRun behavioral reports
cybersecurity
malware-analysis
sandbox-evasion
malware-analysis
cuckoo
anyrun
mitre-attack
virtualization-detection
behavioral-analysis
1.0
mahipal
Apache-2.0
Platform Hardening
Restore Object
Process Analysis
System Call Filtering
Restore Software
DE.AE-02
RS.AN-03
ID.RA-01
DE.CM-01
Analyzing Malware Sandbox Evasion Techniques
Overview
Sandbox 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.
When to Use
When investigating security incidents that require analyzing malware sandbox evasion techniques
When building detection rules or threat hunting queries for this domain
When SOC analysts need structured procedures for this analysis type
When validating security monitoring coverage for related attack techniques
Prerequisites
Cuckoo Sandbox 2.0+ or AnyRun account for behavioral analysis reports
Python 3.8+ with json library for report parsing
Behavioral report exports in JSON format
Steps
Parse Cuckoo/AnyRun behavioral report JSON files
Extract API call sequences for timing-related functions
Identify VM artifact detection via registry queries and WMI calls
Detect sleep inflation by comparing requested vs actual sleep durations
Flag user interaction checks (GetCursorPos, GetAsyncKeyState patterns)
Score evasion sophistication based on technique count and diversity
Map detected techniques to MITRE ATT&CK T1497 sub-techniques
Expected Output
JSON report listing detected evasion techniques with MITRE ATT&CK mapping, API call evidence, evasion sophistication score, and classification of evasion categories (timing, VM detection, user interaction, environment fingerprinting).
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