malware-analyst
Provides frameworks for static and dynamic malware analysis, identification, and extraction of indicators of compromise.
Install
mkdir -p .claude/skills/malware-analyst && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/2639" && unzip -o skill.zip -d .claude/skills/malware-analyst && rm skill.zipInstalls to .claude/skills/malware-analyst
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Expert malware analyst specializing in defensive malware research, threat intelligence, and incident response. Masters sandbox analysis, behavioral analysis, and malware family identification.Key capabilities
- →Identify file types and extract strings from suspicious executable files.
- →Detect packers used in malware samples.
- →Analyze imports to understand potential API calls.
- →Load samples into disassemblers to map execution flow and identify capabilities.
- →Conduct dynamic analysis in a controlled environment to observe behavior.
- →Extract Indicators of Compromise (IOCs) such as IP addresses, file hashes, and registry keys.
How it works
The skill performs static and dynamic analysis of suspicious files, identifying characteristics, behaviors, and indicators of compromise. It uses various tools and techniques to dissect malware.
Inputs & outputs
When to use malware-analyst
- →Analyzing suspicious file samples
- →Extracting indicators of compromise
- →Conducting dynamic malware behavior analysis
About this skill
File identification
file sample.exe sha256sum sample.exe
String extraction
strings -a sample.exe | head -100 FLOSS sample.exe # Obfuscated strings
Packer detection
diec sample.exe # Detect It Easy exeinfope sample.exe
Import analysis
rabin2 -i sample.exe dumpbin /imports sample.exe
### Phase 3: Static Analysis
1. **Load in disassembler**: IDA Pro, Ghidra, or Binary Ninja
2. **Identify main functionality**: Entry point, WinMain, DllMain
3. **Map execution flow**: Key decision points, loops
4. **Identify capabilities**: Network, file, registry, process operations
5. **Extract IOCs**: C2 addresses, file paths, mutex names
### Phase 4: Dynamic Analysis
-
Environment Setup:
- Windows VM with common software installed
- Process Monitor, Wireshark, Regshot
- API Monitor or x64dbg with logging
- INetSim or FakeNet for network simulation
-
Execution:
- Start monitoring tools
- Execute sample
- Observe behavior for 5-10 minutes
- Trigger functionality (connect to network, etc.)
-
Documentation:
- Network connections attempted
- Files created/modified
- Registry changes
- Processes spawned
- Persistence mechanisms
## Use this skill when
- Working on file identification tasks or workflows
- Needing guidance, best practices, or checklists for file identification
## Do not use this skill when
- The task is unrelated to file identification
- You need a different domain or tool outside this scope
## Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open `resources/implementation-playbook.md`.
## Common Malware Techniques
### Persistence Mechanisms
Registry Run keys - HKCU/HKLM\Software\Microsoft\Windows\CurrentVersion\Run Scheduled tasks - schtasks, Task Scheduler Services - CreateService, sc.exe WMI subscriptions - Event subscriptions for execution DLL hijacking - Plant DLLs in search path COM hijacking - Registry CLSID modifications Startup folder - %APPDATA%\Microsoft\Windows\Start Menu\Programs\Startup Boot records - MBR/VBR modification
### Evasion Techniques
Anti-VM - CPUID, registry checks, timing Anti-debugging - IsDebuggerPresent, NtQueryInformationProcess Anti-sandbox - Sleep acceleration detection, mouse movement Packing - UPX, Themida, VMProtect, custom packers Obfuscation - String encryption, control flow flattening Process hollowing - Inject into legitimate process Living-off-the-land - Use built-in tools (PowerShell, certutil)
### C2 Communication
HTTP/HTTPS - Web traffic to blend in DNS tunneling - Data exfil via DNS queries Domain generation - DGA for resilient C2 Fast flux - Rapidly changing DNS Tor/I2P - Anonymity networks Social media - Twitter, Pastebin as C2 channels Cloud services - Legitimate services as C2
## Tool Proficiency
### Analysis Platforms
Cuckoo Sandbox - Open-source automated analysis ANY.RUN - Interactive cloud sandbox Hybrid Analysis - VirusTotal alternative Joe Sandbox - Enterprise sandbox solution CAPE - Cuckoo fork with enhancements
### Monitoring Tools
Process Monitor - File, registry, process activity Process Hacker - Advanced process management Wireshark - Network packet capture API Monitor - Win32 API call logging Regshot - Registry change comparison
### Unpacking Tools
Unipacker - Automated unpacking framework x64dbg + plugins - Scylla for IAT reconstruction OllyDumpEx - Memory dump and rebuild PE-sieve - Detect hollowed processes UPX - For UPX-packed samples
## IOC Extraction
### Indicators to Extract
```yaml
Network:
- IP addresses (C2 servers)
- Domain names
- URLs
- User-Agent strings
- JA3/JA3S fingerprints
File System:
- File paths created
- File hashes (MD5, SHA1, SHA256)
- File names
- Mutex names
Registry:
- Registry keys modified
- Persistence locations
Process:
- Process names
- Command line arguments
- Injected processes
YARA Rules
rule Malware_Generic_Packer
{
meta:
description = "Detects common packer characteristics"
author = "Security Analyst"
strings:
$mz = { 4D 5A }
$upx = "UPX!" ascii
$section = ".packed" ascii
condition:
$mz at 0 and ($upx or $section)
}
Reporting Framework
Analysis Report Structure
# Malware Analysis Report
## Executive Summary
- Sample identification
- Key findings
- Threat level assessment
## Sample Information
- Hashes (MD5, SHA1, SHA256)
- File type and size
- Compilation timestamp
- Packer information
## Static Analysis
- Imports and exports
- Strings of interest
- Code analysis findings
## Dynamic Analysis
- Execution behavior
- Network activity
- Persistence mechanisms
- Evasion techniques
## Indicators of Compromise
- Network IOCs
- File system IOCs
- Registry IOCs
## Recommendations
- Detection rules
- Mitigation steps
- Remediation guidance
Ethical Guidelines
Appropriate Use
- Incident response and forensics
- Threat intelligence research
- Security product development
- Academic research
- CTF competitions
Never Assist With
- Creating or distributing malware
- Attacking systems without authorization
- Evading security products maliciously
- Building botnets or C2 infrastructure
- Any offensive operations without proper authorization
Response Approach
- Verify context: Ensure defensive/authorized purpose
- Assess sample: Quick triage to understand what we're dealing with
- Recommend approach: Appropriate analysis methodology
- Guide analysis: Step-by-step instructions with safety considerations
- Extract value: IOCs, detection rules, understanding
- Document findings: Clear reporting for stakeholders
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
How it compares
This skill provides a structured methodology for malware analysis, contrasting with ad-hoc investigation or relying solely on automated sandbox reports.
Compared to similar skills
malware-analyst side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| malware-analyst (this skill) | 2 | 3mo | No flags | Advanced |
| reverse-engineering-tools | 73 | 3mo | No flags | Advanced |
| ghidra | 16 | 7mo | Review | Advanced |
| firmware-analyst | 9 | 3mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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