Malware Analysis

Community

hypnguyen1209

malware-analysis

Use when reverse-engineering or detecting malware — static triage + capa/YARA-X, emulation/DBI/.NET unpacking, dynamic/fileless/Volatility 3 memory analysis, C2 config extraction (Cobalt Strike/CAPE), C2 traffic detection (JA4+, beaconing)

Overview

Publisher	hypnguyen1209
Repository	`offensive-claude`
Skill name	`malware-analysis`
Stars	396
Forks	71
Bundled files	13
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
13 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by hypnguyen1209 on GitHub. Read the source before you install it.

Installation

Install the Malware Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/hypnguyen1209/offensive-claude/tree/main/skills/malware-analysis
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/hypnguyen1209/offensive-claude.git /tmp/offensive-claude
mkdir -p .claude/skills
cp -r /tmp/offensive-claude/skills/malware-analysis .claude/skills/malware-analysis

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Malware Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Malware Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Malware Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Malware Analysis

When to Activate

Triaging an unknown binary/script: identity, packing verdict, capability map, IOCs, go/no-go for detonation.
Recovering the real payload from a packed/crypted/obfuscated loader (commodity loaders, RAT chains, .NET).
Detonating safely and recovering fileless / in-memory artifacts (injection, AMSI/ETW patching, WMI persistence).
Extracting malware configuration (C2, keys, sleep/jitter, campaign IDs) for threat intel and detection.
Detecting/characterizing C2 on the wire (beacon cadence, JA4+ fingerprints, tunneled/DoH channels).
Writing durable, low-FP YARA-X detection from analysis findings; incident-response scoping.

Technique Map

Technique	ATT&CK	CWE	Reference	Script
Hash/imphash/Rich/ssdeep/TLSH triage + PE anomalies	T1027	CWE-506	references/static-triage-capa.md	scripts/triage.py
Per-section entropy + packer/RWX/EP heuristics	T1027.002	CWE-1066	references/static-triage-capa.md	scripts/triage.py
Obfuscated string recovery (FLOSS)	T1140, T1027.013	CWE-656	references/static-triage-capa.md	scripts/triage.py
Capability detection → ATT&CK (capa, static+dynamic)	T1027	CWE-506	references/static-triage-capa.md	scripts/triage.py
Emulation unpacking (Unicorn/unipacker/Speakeasy/Qiling)	T1140, T1620	CWE-656	references/unpacking-deobfuscation.md	scripts/auto_unpack.py
DBI unpacking via API hooks (Frida)	T1055, T1620	CWE-656	references/unpacking-deobfuscation.md	scripts/frida_unpack.js
.NET deobfuscation/unpacking (de4dot/dnSpyEx)	T1027, T1140	CWE-656	references/unpacking-deobfuscation.md	scripts/frida_unpack.js
Sandbox detonation + behavioral capture	T1497	CWE-506	references/dynamic-fileless-memory.md	scripts/mem_triage.py
Memory injection/hollowing/ghosting analysis (Vol3)	T1055, T1055.012	CWE-506	references/dynamic-fileless-memory.md	scripts/mem_triage.py
AMSI/ETW in-memory patch + patchless detection	T1562.001	CWE-693	references/dynamic-fileless-memory.md	scripts/mem_triage.py
Fileless WMI/registry/PowerShell persistence	T1546.003, T1547.001, T1059.001	CWE-506	references/dynamic-fileless-memory.md	scripts/mem_triage.py
Cobalt Strike / AdaptixC2 config extraction	T1071.001, T1573	CWE-798	references/config-c2-extraction.md	scripts/cs_config_extract.py
Config framework at scale (MACO/CAPE)	T1071.001	CWE-798	references/config-c2-extraction.md	scripts/cs_config_extract.py
Generic unknown-C2 protocol RE + decoder	T1573, T1071.004	CWE-311	references/config-c2-extraction.md	scripts/cs_config_extract.py
Beacon cadence/jitter detection (PCAP/Zeek)	T1071.001, T1029	CWE-778	references/network-c2-detection.md	scripts/beacon_profiler.py
JA4+ TLS/HTTP/cert fingerprinting (Sliver/Havoc JA4X)	T1071.001, T1573	CWE-295	references/network-c2-detection.md	scripts/beacon_profiler.py
Tunneled/DoH C2 surfacing (cloudflared/chisel)	T1572, T1568.002, T1071.004	CWE-441	references/network-c2-detection.md	scripts/beacon_profiler.py
YARA-X family rule authoring + FP validation	T1027	CWE-506	references/yara-detection-engineering.md	scripts/yara_gen.py

Quick Start

bash
# 1. Static triage: hashes + PE anomalies + capability combos + FLOSS/capa/YARA-X
python3 scripts/triage.py sample.exe --floss --capa --yara rules/family.yar --json out/triage.json
capa -j sample.exe > out/capa.json                       # capabilities -> ATT&CK

# 2. Unpack (try emulation first; DBI fallback in isolated VM)
python3 scripts/auto_unpack.py sample.exe -o out/dumps/  # static emulation, no detonation
frida -f C:\sample.exe -l scripts/frida_unpack.js --no-pause   # DBI, isolated VM only
de4dot sample.exe -o cleaned.exe                         # .NET layer

# 3. Dynamic + memory (capture mem BEFORE remediation)
python3 scripts/mem_triage.py -f mem.raw --vol vol --patch-hunt --json out/mem.json

# 4. Config + C2 extraction
python3 scripts/cs_config_extract.py beacon.bin --json    # Cobalt Strike
python3 1768.py -S beacon.bin                             # full CS incl. runtime/heap config
configextractor sample.bin                               # MACO/MWCP/CAPE at scale

# 5. Network C2 detection
python3 scripts/beacon_profiler.py capture.pcap --min-beacons 6     # cadence/jitter
zeek -r capture.pcap LOCAL ja4 && zeek-cut ja4 ja4s ja4x < ja4.log  # JA4+ pivots

# 6. Detection engineering
python3 scripts/yara_gen.py --family samples/fam/ --name Fam --goodware /usr/bin --out rules/fam.yar
yara-x fmt rules/fam.yar && yara-x scan rules/fam.yar /corpus/

OPSEC & Detection (summary)

Technique	Telemetry/IOC	Detection (Sigma/EDR)	OPSEC note
Static triage	None (offline)	n/a — feeds YARA/imphash hunting	Read-only, no execution; isolate sample dir
Emulation unpack	None (no detonation)	n/a	Preferred first pass; safe, no network
DBI/manual unpack	Sysmon 8/10 (CallTrace UNKNOWN), RWX commit	EDR memory scan; RWX-then-exec Sigma	DETONATES — isolated VM, snapshot, FakeNet; loaders self-delete, dump first
Injection/hollowing	malfind/hollowprocesses; EID 8/10	Vol3 hollow/ghosting/pebmasquerade; CreateRemoteThread	Capture memory pre-remediation
AMSI/ETW patch	amsi.dll load + patched prologue; B8 00..C3 stub	Sigma T1562.001; debug-reg+VEH for patchless	Patchless evades byte scans — watch Dr0-Dr7
Fileless persistence	WMI consumers; PS 4104; Run-key blobs	Vol3 registry/wmi; Sysmon 13/22	Lives in WMI/registry/memory — no disk file
Config extraction	C2 host/UA/pipe/watermark	YARA config table; Suricata on C2 URI/SNI	Offline; handle watermark/keys per ROE
Beacon detection	Periodic outbound deltas	beacon_profiler CV score; Suricata threshold	Passive on captured traffic
JA4+ fingerprint	JA4/JA4S/JA4X/JA4H tuples	Zeek ja4 watchlist (Sliver/Havoc JA4X)	JA4X needs TLS1.3 cert visibility at proxy
YARA-X authoring	None	The rules themselves	Validate 0-FP on goodware before deploy

Deep Dives

references/static-triage-capa.md — Identity/code hashes, Rich header, entropy/packer heuristics, FLOSS, capa (PE/ELF/.NET/shellcode + dynamic capa over CAPE, Android rules, capa Explorer Web), FLARE-VM 2025.
references/unpacking-deobfuscation.md — Self-modifying-stub oracle, emulation (auto_unpack/unipacker/Speakeasy/Qiling), Frida DBI hooks, x64dbg→OEP→Scylla, .NET (de4dot/dnSpyEx), Latrodectus 1.4 AES strings, AsyncRAT fileless loaders, garble/pyc.
references/dynamic-fileless-memory.md — Sandbox build, Volatility 3 injection playbook + 2025 contest plugins (PEScan/Fileless Hunter), AMSI/ETW patch IOCs + patchless VEH bypass, WMI/registry/PS fileless persistence.
references/config-c2-extraction.md — Cobalt Strike (1768.py runtime config, CobaltStrikeParser XOR 0x69/0x2e), AdaptixC2 (Unit 42, 2025), MACO/configextractor-py/CAPEv2 at scale, generic unknown-C2 decoder methodology.
references/network-c2-detection.md — Beacon cadence/CV scoring, JA4+ suite (JA4X for randomized-cert Sliver/Havoc, Zeek/TheHive 2025-26), tunneled/DoH C2 (cloudflared/TryCloudflare/chisel), Suricata/Sigma + ransomware 2025 tradecraft.
references/yara-detection-engineering.md — YARA-X 1.0 (Rust, 99% compat, fmt/WASM, perf caveats), code/byte > string rules, pe/math modules, threshold logic, goodware FP validation, memory+disk scanning, capa pairing.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Malware Analysis AI skill do?

Why use Malware Analysis on TypingMind?

Because you install it once and use it with any model. Malware Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Malware Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hypnguyen1209/offensive-claude/tree/main/skills/malware-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Malware Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Malware Analysis?

As many as you like. As long as a model supports skills, you can use Malware Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Malware Analysis AI skill free?

Yes. It is published on GitHub by hypnguyen1209 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Malware Analysis

When to Activate

Technique Map

Quick Start

OPSEC & Detection (summary)

Deep Dives

Bundled files

Frequently asked questions

Related AI Skills

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