Agent skill

Analyzing Malware Sandbox Evasion Techniques

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Detect sandbox and VM evasion techniques in malware samples by analyzing timing checks, VM/hypervisor artifact queries, user-interaction checks, and sleep-inflation patterns from Cuckoo or AnyRun…

Apache-2.0Auto-check passedSecurity

Install Analyzing Malware Sandbox Evasion Techniques

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malware-sandbox-evasion-techniques -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-malware-sandbox-evasion-techniques --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analyzing-malware-sandbox-evasion-techniques .claude/skills/analyzing-malware-sandbox-evasion-techniques && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
analyzing-malware-sandbox-evasion-techniques
GitHub stars
34k
Token cost
~713 tokens
SKILL.md length
245 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Detect sandbox and VM evasion techniques in malware samples by analyzing timing checks, VM/hypervisor artifact queries, user-interaction checks, and sleep-inflation patterns from Cuckoo or AnyRun…

  • Works in 7 steps: Parse Cuckoo/AnyRun behavioral report… → Extract API call sequences for… → Identify VM artifact detection via… → …
  • A sample shows no
  • SKILL.md covers Overview, When to Use, Prerequisites and Steps, plus 1 more section
  • Runs Python scripts from its folder

What it does

Analyzing Malware Sandbox Evasion Techniques is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect sandbox and VM evasion techniques in malware samples by analyzing timing checks, VM/hypervisor artifact queries, user-interaction checks, and sleep-inflation patterns from Cuckoo or AnyRun behavioral reports. Use when a sample shows no or minimal activity in a sandbox, when a behavioral report needs review for evasion indicators, or when building detections for anti-analysis techniques.

Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in Security. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • A sample shows no
  • Minimal activity in a sandbox
  • A behavioral report needs review for evasion indicators
  • Building detections for anti-analysis techniques

Example prompts

  • “/analyzing-malware-sandbox-evasion-techniques”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Parse Cuckoo/AnyRun behavioral report JSON files
  2. Extract API call sequences for timing-related functions
  3. Identify VM artifact detection via registry queries and WMI calls
  4. Detect 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

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Analyzing Malware Sandbox Evasion Techniques loads about 713 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 245 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~110
When it runs · the whole SKILL.md, loaded when a task matches
~713
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 245 words, ~713 tokens.

Download SKILL.mdSave it as .claude/skills/analyzing-malware-sandbox-evasion-techniques/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
analyzing-malware-sandbox-evasion-techniques
description
Detect sandbox and VM evasion techniques in malware samples by analyzing timing checks, VM/hypervisor artifact queries, user-interaction checks, and sleep-inflation patterns from Cuckoo or AnyRun behavioral reports. Use when a sample shows no or minimal activity in a sandbox, when a behavioral report needs review for evasion indicators, or when building detections for anti-analysis techniques.
domain
cybersecurity
subdomain
malware-analysis
tags
sandbox-evasion, malware-analysis, cuckoo, anyrun, mitre-attack, virtualization-detection, behavioral-analysis
version
1.0
author
mahipal
license
Apache-2.0
d3fend_techniques
Platform Hardening, Restore Object, Process Analysis, System Call Filtering, Restore Software
nist_csf
DE.AE-02, RS.AN-03, ID.RA-01, DE.CM-01
mitre_attack
T1497.001, T1497.003, T1480, T1027.002

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

  1. Parse Cuckoo/AnyRun behavioral report JSON files
  2. Extract API call sequences for timing-related functions
  3. Identify VM artifact detection via registry queries and WMI calls
  4. Detect 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 detection, user interaction, environment fingerprinting).

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/analyzing-malware-sandbox-evasion-techniques of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Analyzing Malware Sandbox Evasion Techniques next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Analyzing Malware Sandbox Evasion Techniques this skillmukul975/Anthropic-Cybersecurity-Skills34k—~713Automated safety check: PassApache-2.0
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Skill Scannergetsentry/skills1k4 repos~2.5kAutomated safety check: WarnApache-2.0
Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit4811 repos~3.3kAutomated safety check: PassNone
Security Alert Triageelastic/agent-skills5921 repos~3.5kAutomated safety check: NotesApache-2.0
Shiro Attack CLISummerSec/ShiroAttack22.6k—~945Automated safety check: PassMIT

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Categories

Questions about Analyzing Malware Sandbox Evasion Techniques

What does Analyzing Malware Sandbox Evasion Techniques do?

Detect sandbox and VM evasion techniques in malware samples by analyzing timing checks, VM/hypervisor artifact queries, user-interaction checks, and sleep-inflation patterns from Cuckoo or AnyRun…. Analyzing Malware Sandbox Evasion Techniques is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect sandbox and VM evasion techniques in malware samples by analyzing timing checks, VM/hypervisor artifact queries, user-interaction checks, and sleep-inflation patterns from Cuckoo or AnyRun behavioral reports.

When should I use Analyzing Malware Sandbox Evasion Techniques?

Analyzing Malware Sandbox Evasion Techniques fits situations like: A sample shows no; minimal activity in a sandbox; A behavioral report needs review for evasion indicators; building detections for anti-analysis techniques.

How do I install Analyzing Malware Sandbox Evasion Techniques in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malware-sandbox-evasion-techniques -a claude-code`. Or copy the skill folder (skills/analyzing-malware-sandbox-evasion-techniques in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/analyzing-malware-sandbox-evasion-techniques in your project. Claude Code loads it when a task matches its description.

How do I install Analyzing Malware Sandbox Evasion Techniques in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malware-sandbox-evasion-techniques -a codex`. Or copy the skill folder (skills/analyzing-malware-sandbox-evasion-techniques in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/analyzing-malware-sandbox-evasion-techniques in your project. Codex loads it when a task matches its description.

Can I use Analyzing Malware Sandbox Evasion Techniques in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malware-sandbox-evasion-techniques -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-malware-sandbox-evasion-techniques, .gemini/skills/analyzing-malware-sandbox-evasion-techniques, .github/skills/analyzing-malware-sandbox-evasion-techniques and .opencode/skills/analyzing-malware-sandbox-evasion-techniques in your project.

What does Analyzing Malware Sandbox Evasion Techniques need to run?

Going by SKILL.md and its folder, Analyzing Malware Sandbox Evasion Techniques needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Analyzing Malware Sandbox Evasion Techniques access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Analyzing Malware Sandbox Evasion Techniques safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Analyzing Malware Sandbox Evasion Techniques use?

Analyzing Malware Sandbox Evasion Techniques is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Analyzing Malware Sandbox Evasion Techniques use?

About 713 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 517 tokens, read only when the agent opens those files.

What are the alternatives to Analyzing Malware Sandbox Evasion Techniques?

Skills that share tags, products or a category with Analyzing Malware Sandbox Evasion Techniques: Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars), Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars) and Security Alert Triage (elastic/agent-skills, 592 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyzing Malware Sandbox Evasion Techniques?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.