Darksp33d

Darksp33d / hyperhives-macos-infostealer-analysis

Public

Full static analysis of HyperHives macOS Rust infostealer — 571 decrypted config values, C2 infrastructure, DPRK/Contagious Interview attribution, YARA/Sigma rules, STIX 2.1 bundle, ATT&CK Navigator layer

github.comDarksp33dhyperhives-macos-infostealer-analysis#tldr contagious-interview cybersecurity dprk infostealer ioc
10
1
100% credibility
Found Apr 07, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This repository offers a detailed breakdown and secure tools for examining a Rust-built macOS malware that steals browser data and crypto wallets via fake job lures on Wellfound.

How It Works

1
📰 Discover the Mac Virus Story

You hear about a sneaky program pretending to be a job offer that steals passwords and crypto from Macs, and find this helpful guide explaining it all.

2
📥 Grab the Free Analysis Kit

Download the ready-made kit with stories, clues, and safe tools to explore the virus without any risk to your computer.

3
🛡️ Create Your Safe Exploration Space

Follow simple steps to set up a protected play area where nothing bad can escape or harm your real Mac.

4
🔬 Add the Virus Sample

Put the captured bad program into the safe space, just like sliding a specimen under a microscope.

5
🔓 Reveal All Hidden Secrets

Press go and watch as it uncovers 571 locked clues like secret websites, targets, and operator fingerprints.

6
📋 Get Ready-Made Protection Tools

Collect lists of warning signs, detection recipes, and maps to spot and block this threat everywhere.

🏆 You're Now Armed Against It

With full understanding and defenses in hand, you can protect yourself, friends, and warn others about the scam.

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Star Growth

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AI-Generated Review

What is hyperhives-macos-infostealer-analysis?

This repo delivers a full static analysis of a Rust-based macOS infostealer from a fake job interview scam, decrypting all 571 config values to expose C2 servers, Sentry DSNs, and 276 Chrome wallet extension targets. Drop the malware sample into its air-gapped Docker lab, run Python scripts, and get ready-to-deploy YARA/Sigma rules plus STIX 2.1 bundles and ATT&CK Navigator layers for your SIEM or CTI platform. It's a complete github full guide to dissecting production-grade malware without risking dynamic execution.

Why is it gaining traction?

Unlike basic IOC dumps, it cracks custom XOR encryption via CPU emulation to recover every config secret, including DPRK-linked attribution pivots—perfect for teams hunting Contagious Interview campaigns. The Docker setup enforces zero network and read-only safety, outputting structured JSON for full github stack projects or meta full static workflows. Developers grab production rules and intel bundles that integrate directly, skipping weeks of RE grunt work.

Who should use this?

MacOS malware analysts reversing Rust stealers, threat hunters tracking job-lure phishing, and SecOps building detections for crypto-wallet theft. DFIR responders get IOCs and Sigma rules tuned for proxy/DNS/process logs; CTI teams import the STIX 2.1 bundle into MISP or OpenCTI for instant campaign mapping.

Verdict

Solid for niche macOS threat intel—docs are thorough, Docker lab is battle-ready despite 10 stars and 1.0% credibility score from low activity. Fork it for your full static power analyses, but validate rules in prod first.

(198 words)

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