analyzing-malware-sandbox-evasion-techniques skill

by mukul975·mukul975/Anthropic-Cybersecurity-Skills·34k stars·Apache-2.0

Detect sandbox and VM evasion techniques in malware samples by analyzing

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Install the analyzing-malware-sandbox-evasion-techniques skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.

git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git /tmp/Anthropic-Cybersecurity-Skills
mkdir -p ~/.claude/skills
cp -r /tmp/Anthropic-Cybersecurity-Skills/skills/analyzing-malware-sandbox-evasion-techniques ~/.claude/skills/analyzing-malware-sandbox-evasion-techniques

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The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

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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