Performing Dynamic Analysis With Any Run

Performing Dynamic Analysis With Any Run

Overview

Cybersecurity skill for performing dynamic analysis with any run. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "performing dynamic analysis with any run"

• "Performs interactive dynamic malware analysis using the ANY"

• 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.

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope

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

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}

1. Plan Operations — Define objectives, scope, and success criteria for dynamic analysis operations.
2. Prepare Environment — Set up tools, access, and data sources required for dynamic analysis.
3. Execute Core Workflow — Use any run to perform dynamic analysis operations following established procedures.
4. Validate Results — Verify that results meet quality standards and objectives.
5. Report Findings — Document results, observations, and recommendations.
6. Follow Up — Track remediation actions and verify fixes where applicable.

Tools

• any run — Primary tool for this skill
• Analysis Platform — Data processing and visualization
• Collaboration Tools — Team coordination and knowledge sharing

Process

1. Design — Define interface, identify patterns, plan implementation
2. Implement — Write code following existing conventions, add tests
3. Verify — Run tests, check integration, validate behavior

Verification

• All dynamic analysis procedures executed completely and documented
• Findings validated against multiple data sources
• False positives identified and filtered
• Results documented with evidence and timestamps
• Recommendations provided with risk-based prioritization

Anti-Rationalization Table