Analyzing Malware Sandbox Evasion Techniques

---
name: analyzing-malware-sandbox-evasion-techniques
description: tespit etme
sandbox evasion techniques in malware samples by analyzing timing checks, VM artifact queries, user interaction Tespit, and sleep inflation patterns from Cuckoo/AnyRun behavioral
  reports
tags:
- siber-güvenlik
- cuckoo
- malware-analysis
- fetih
- mitre-attack
- anyrun
- sandbox-evasion
- cybersecurity
- virtualization-Tespit
- behavioral-analysis
triggers:
- analyzing
- api
- evasion
- incident
- malware
- ransomware
- sandbox
- techniques
- threat
- trojan
- virüs
- zararlı yazılım
category: malware-analysis
source_subdomain: malware-analysis
nist_csf:
- DE.AE-02
- RS.AN-03
- ID.RA-01
- DE.CM-01
adapted_for: fetih
---

# Analyzing Malware Sandbox Evasion Techniques


## Genel Bakış

Sandbox evasion (MITRE ATT&CK T1497) allows malware to tespit etme
analysis environments and alter behavior to avoid Tespit. bu skill analyzes behavioral reports from Cuckoo Sandbox and AnyRun for evasion indicators including timing-based checks (GetTickCount, QueryPerformanceCounter, sleep inflation), VM artifact Tespit (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). Tespit rules flag samples exhibiting these behaviors for deeper manual analysis.


## Ne Zaman Kullanılır

- investigating yaparken security incidents that require analyzing malware sandbox evasion techniques
- building yaparken Tespit rules or threat hunting queries for this domain
- SOC yaparken: analysts need structured procedures for this analysis type
- validating yaparken security monitoring coverage for related attack techniques

## Ön Gereksinimler

- 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

## Adımlar

1. Parse Cuckoo/AnyRun behavioral report JSON files
2. Extract API call sequences for timing-related functions
3. Identify VM artifact Tespit via registry queries and WMI calls
4. tespit etme
sleep inflation by comparing requested vs actual sleep durations
5. Flag user interaction checks (GetCursorPos, GetAsyncKeyState patterns)
6. Score evasion sophistication based on technique count and diversity
7. 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 Tespit, user interaction, environment fingerprinting).

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