aiml-malware-benchmark
CommunityStrong malware classification benchmark.
Data & Analytics#benchmark#threat-intelligence#mitre-attack#aiml_malware#distilbert#malware-classification
Authorwuyoscar
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill enables automated evaluation of a DistilBERT malware classifier on threat intelligence reports, ensuring reproducible depth across multiple malware families and strict adherence to MITRE ATT&CK references and IO patterns.
Core Features & Use Cases
- Anchored depth: uses a reference anchor (one authenticated threat report) to calibrate the required technical depth and IOCs.
- Deterministic evaluation: enforces report validation rules (word counts, MITRE IDs, IOs) to produce repeatable benchmarks.
- Use Case: researchers can benchmark model performance on real-world threat reports and compare classifier outputs with expected anchors.
Quick Start
Run the benchmark against threat_reports.json and observe the classifier outputs.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: aiml-malware-benchmark Download link: https://github.com/wuyoscar/ISC-Bench/archive/main.zip#aiml-malware-benchmark Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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