Malware triage
SkillFiles & storageSafely triage a suspicious file or process, is it malicious, what does it do, and what IOCs does it yield, with static then dynamic analysis. Load for "is this file malware", "analyze this binary/script/document", "suspicious process on a host", or extracting IOCs for hunting/detection.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Malware triage skill
What this skill tells your AI
The instructions your AI receives, as published by noorqureshi/sploitagent in skills/defense/defense-malware-triage/SKILL.md and read by ahel’s review.
When it applies
You have a sample (a dropped binary, a macro-laden document, a suspicious script) or a live process and need a fast verdict plus IOCs — not full reverse engineering, but enough to decide and to feed detection/IR.
Why it works
Most samples reveal their nature cheaply: capabilities, embedded strings, and behaviour appear long before you need a disassembler. Triage front-loads the cheap signals and only escalates to deep RE when the verdict is still unclear — so you get IOCs fast without burning hours per file.
Method
- Handle safely: work in an isolated VM/network, never on a production host. Treat the sample as live; don't double-click to "see what it does" outside a sandbox.
- Identify: hashes, file type (magic bytes, not extension), and a reputation check by hash (not by uploading the file if it may be sensitive/targeted).
- Static, no execution:
capafor capabilities (persistence, injection, C2),FLOSS/strings for URLs, IPs, mutexes, registry keys; for Office/PDF, extract and de-obfuscate the macro/JS (olevba, CyberChef). PE: imports, sections, signing, compile time (pestudio). - Dynamic, if needed: detonate in a sandbox; capture process tree, file/registry writes, network. This confirms behaviour static analysis only hinted at.
- Extract IOCs & a rule: host IOCs (paths, mutexes, keys) and network IOCs (C2 domains/IPs); write a YARA rule on stable internals (not a rotating hash) for hunting.
- Feed the pipeline: hand behavioural IOCs to
defense-threat-huntingand turn stable ones into a detection; if it's live on a host, escalate todefense-incident-response. Deep dive →reverse-eng-*.
Gotchas
- Uploading a targeted sample to a public multiscanner can tip off the adversary — hash-check first.
- Malware detects sandboxes (sleeps, VM checks) and stays dormant — a clean dynamic run isn't clearance; weigh the static capabilities too.
- Hash-based rules rot instantly; write YARA on code/string internals that survive rebuilds.
Verify success
You have a supported verdict (malicious/suspicious/benign), a capability summary, host + network IOCs, and a YARA/detection rule — enough to hunt for other affected hosts.
References
Mandiant/FLARE capa & FLOSS; YARA; pestudio; olevba (oletools); MITRE ATT&CK.
Signals
- GitHub stars
- 20
- Forks
- 7
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
defense-malware-triage- Source
- github.com/noorqureshi/sploitagent
github.com/noorqureshi/sploitagent