Malware Analysis & Sandboxing
An end-to-end malware analysis playbook covering static and dynamic triage, YARA rule authoring, and safe sandbox setup.
Security & ReviewAdvanced★ 397⑂ 75AI score 9/10Last updated: Sep 3, 2026
What it does
- Static analysis pipeline: file identification and hashing → threat-intel lookups (VirusTotal, MalwareBazaar) → PE imports, strings and entropy interpretation.
- Suspicious API reference: Windows APIs grouped by intent (process injection, persistence, anti-analysis, C2, keylogging, defense evasion) so an import table alone hints at capability.
- YARA rule generation: three tiered templates (hash-specific, family-level strings, network IOC) plus guidance on testing rules against clean binaries to avoid false positives.
- Behavioral report reading: extracts process-tree anomalies, DGA domains, beacon intervals, Run-key persistence and shadow-copy deletion from Cuckoo/CAPE output and maps them to MITRE ATT&CK.
- Sandbox build guide: host-only networking, snapshots, FakeNet-NG/INetSim, Regshot, Autoruns, plus anti-anti-VM hardening tips.
- Standard report format: hashes, classification, confidence, network/host IOCs and ATT&CK mapping.
Who it's for
- SOC analysts, incident responders and threat-intel researchers
- Detection engineers writing their first YARA rules who need false-positive discipline
- Security learners building a safe home malware-analysis lab
Example uses
- "Do a static analysis of this exe" → hashes computed, imports/strings/entropy interpreted, packing and suspicious capabilities summarized.
- "Write a family-level YARA rule from these infostealer samples" → Tier 2 rule from shared strings and mutexes, plus commands to verify zero hits on clean binaries.
- "Interpret this CAPE report" → classifies the sample as ransomware from the process tree and vssadmin usage, and emits IOCs with T1490 ATT&CK mapping.
· · · Install guide · · ·
Try it now, no install
Paste this into Claude to use the skill without installing anything.
Read the instructions in this file and follow them to help me: https://raw.githubusercontent.com/Masriyan/Claude-Code-CyberSecurity-Skill/HEAD/skills/05-malware-analysis/SKILL.md What I want: (describe your task here)
If Claude can't open the link, open it yourself and paste the contents instead.
↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.
Install in the Claude app (no terminal)
- Download the ZIP with the button below.
- In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
- Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
Install in Claude Code
Let Claude do it — paste this into Claude Code
Install the skill I found on Claude Skill Mart. Copy the skills/05-malware-analysis folder from the GitHub repo Masriyan/Claude-Code-CyberSecurity-Skill into my ~/.claude/skills/malware-analysis-sandboxing/. When it's done, tell me in one line what this skill can do.
Install with a command instead
git clone https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill.git && mkdir -p ~/.claude/skills && cp -r Claude-Code-CyberSecurity-Skill/skills/05-malware-analysis ~/.claude/skills/malware-analysis⚠ This is a third-party skill. Check the source repository before installing.
- Open a terminal and clone the repo:
git clone https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill.git - Create the skills directory if needed:
mkdir -p ~/.claude/skills - Copy just this skill:
cp -r Claude-Code-CyberSecurity-Skill/skills/05-malware-analysis ~/.claude/skills/malware-analysis - Install the Python dependencies:
pip install yara-python pefile python-magic requests ssdeep - (Optional) Install external tooling such as the YARA CLI, ssdeep and Volatility 3 via your OS package manager.
- Before any analysis: handle real samples only inside an isolated VM with no internet access, and take a snapshot first.
- Restart Claude Code, then ask something like "statically analyze this suspicious file" or "generate a YARA rule" to trigger the skill.
View source on GitHub ↗License: MIT