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Testing35k · #6061

performing-dynamic-analysis-with-any-run

Helps your agent analyze malware interactively in a cloud sandbox. It observes real-time behavior, interacts with the malware, and captures important data. It's useful for investigating suspicious files or links needing live detonation.

What it does

This tool lets you see what a suspicious file or link does in a safe online environment. You can even interact with it, as if you were using a normal computer, to better understand its behavior.

When to use it

  • ✓When you receive a file or link and are unsure if it's safe.
  • ✓If a program needs clicks or responses to work, and you want to see what it does.
  • ✓To analyze how a program behaves on different Windows versions.

Example of what to ask your AI

“Analyze this suspicious file and show me what it does.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/performing-dynamic-analysis-with-any-run/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/performing-dynamic-analysis-with-any-run/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

You send the file or link to the ANY.RUN online service. It runs the item in a virtual computer and shows in real-time what happens, like which programs are opened or which websites are visited.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-dynamic-analysis-with-any-run

Or download just the file:

curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/performing-dynamic-analysis-with-any-run/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Performing Dynamic Analysis with ANY.RUN

When to Use

  • Interactive malware analysis is needed where the analyst must click dialogs, enter credentials, or navigate installer screens
  • Rapid cloud-based sandbox analysis without maintaining local sandbox infrastructure
  • Malware requires user interaction to proceed past anti-sandbox checks (document macros requiring "Enable Content")
  • Sharing analysis results with team members via public or private task URLs
  • Comparing behavior across different OS versions (Windows 7, 10, 11) available in ANY.RUN

Do not use for highly sensitive samples that cannot be uploaded to cloud services; use an on-premises sandbox like Cuckoo instead.

Prerequisites

  • ANY.RUN account (free community tier or paid subscription at https://any.run)
  • Modern web browser with WebSocket support for interactive session streaming
  • Sample file ready for upload (max 100 MB for free tier, 256 MB for paid)
  • Understanding of the sample type to select appropriate execution environment
  • VPN or secure network for accessing ANY.RUN portal during analysis sessions

Workflow

Step 1: Configure Analysis Environment

Set up the ANY.RUN task with appropriate parameters:

ANY.RUN Task Configuration:
━━━━━━━━━━━━━━━━━━━━━━━━━━
OS Selection:        Windows 10 x64 (recommended default)
                     Windows 7 x64 (for legacy malware)
                     Windows 11 x64 (for modern samples)
Execution Time:      60 seconds (default) / 120-300 for slow-acting malware
Network:             Connected (captures real C2 traffic)
                     Residential Proxy (bypasses geo-blocking)
Privacy:             Public (free tier) / Private (paid - not indexed)
MITM Proxy:          Enable for HTTPS traffic decryption
Fake Net:            Enable to simulate internet services if sample checks connectivity

API-based submission (paid tier):

# Submit file via ANY.RUN API
curl -X POST "https://api.any.run/v1/analysis" \
  -H "Authorization: API-Key $ANYRUN_API_KEY" \
  -F "file=@suspect.exe" \
  -F "env_os=windows" \
  -F "env_version=10" \
  -F "env_bitness=64" \
  -F "opt_timeout=120" \
  -F "opt_network_connect=true" \
  -F "opt_privacy_type=bylink"

# Check task status
curl "https://api.any.run/v1/analysis/$TASK_ID" \
  -H "Authorization: API-Key $ANYRUN_API_KEY" | jq '.data.status'

Step 2: Interact with Malware During Execution

Use the interactive session to trigger malware behavior:

Interactive Actions During Analysis:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. Document Macros:   Click "Enable Content" / "Enable Editing" when prompted
2. Installer Screens: Click through installation dialogs
3. UAC Prompts:       Click "Yes" to allow elevation (observe privilege escalation)
4. Credential Harvests: Enter fake credentials to observe phishing behavior
5. Browser Redirects:  Navigate to URLs if malware opens browser windows
6. File Dialogs:       Select target files if malware presents file picker
7. Timeout Extension:  Extend analysis time if malware has delayed execution

Step 3: Analyze Process Tree

Review the complete process execution chain:

Process Tree Analysis Points:
━━━━━━━━━━━━━━━━━━━━━━━━━━━
Parent-Child Relationships:
  - WINWORD.EXE -> cmd.exe -> powershell.exe (macro execution chain)
  - explorer.exe -> suspect.exe -> svchost.exe (process injection)

Process Events to Note:
  - Process creation with suspicious command-line arguments
  - PowerShell with encoded commands (-enc / -encodedcommand)
  - cmd.exe executing script files (.bat, .vbs, .js)
  - Legitimate processes spawned from unusual parents
  - Process termination (self-deletion behavior)

Step 4: Review Network Activity

Examine DNS, HTTP/HTTPS, and TCP/UDP connections:

ANY.RUN Network Panel Analysis:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
DNS Requests:
  - Domain resolutions with threat intelligence tags
  - Fast-flux or DGA domain patterns
  - DNS over HTTPS (DoH) detection

HTTP/HTTPS Traffic (with MITM enabled):
  - Full request/response bodies for HTTP
  - Decrypted HTTPS traffic showing C2 commands
  - Downloaded payloads and their content types
  - POST data containing exfiltrated information

Connection Map:
  - Geographic visualization of C2 server locations
  - Connection timeline showing beacon patterns
  - Suricata alerts triggered on network traffic

Step 5: Examine IOCs and Threat Intelligence

Extract indicators and map to known threats:


…
FAQ

Do I need to pay to use it?

There is a free version with some limitations and paid versions with more features.

Can I analyze any type of file?

Yes, but highly sensitive files should not be uploaded to online services. For those, it's better to use tools installed on your own computer.

What are 'IOCs'?

IOCs are 'Indicators of Compromise', which are clues about malicious activity, like suspicious website addresses or filenames.

Details

Original description by the author

Perform interactive dynamic malware analysis using the ANY.RUN cloud sandbox to detonate samples, observe real-time execution behavior, interact with malware prompts such as dialogs and CAPTCHAs, and capture process trees, network traffic, and system changes. Use when a suspicious file or URL needs live, interactive behavioral detonation in a cloud sandbox rather than static analysis alone. '

repo: mukul975/Anthropic-Cybersecurity-Skills

Popularity

GitHub stars
35k
Ranking position
#6061
License
Apache-2.0
Updated
8/31/2026

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