Evening! 🫡
Just uploaded Open-MalSec v0.1, an early-stage open-source cybersecurity dataset focused on phishing, scams, and malware-related text samples.
📂 This is the base version (v0.1)—just a few structured sample files. Full dataset builds will come over the next few weeks.
🔗 Dataset link: huggingface.co/datasets/tegridydev/open-malsec
🔍 What’s in v0.1?
A few structured scam examples (text-based)
Covers DeFi, crypto, phishing, and social engineering
Initial labelling format for scam classification
⚠️ This is not a full dataset yet. Just establishing the structure + getting feedback.
📂 Current Schema & Labelling Approach
Each entry follows a structured JSON format with:
“instruction” → Task prompt (e.g., “Evaluate this message for scams”)
“input” → Source & message details (e.g., Telegram post, Tweet)
“output” → Scam classification & risk indicators
Sample Entry
json { “instruction”: “Analyze this tweet about a new dog-themed crypto token. Determine scam indicators if any.”, “input”: { “source”: “Twitter”, “handle”: “@DogLoverCrypto”, “tweet_content”: “DOGGIEINU just launched! Invest now for instant 500% gains. Dev is ex-Binance staff. #memecrypto #moonshot” }, “output”: { “classification”: “malicious”, “description”: “Tweet claims insider connections and extreme gains for a newly launched dog-themed token.”, “indicators”: [ “Overblown profit claims (500% ‘instant’)”, “False or unverifiable dev background”, “Hype-based marketing with no substance”, “No legitimate documentation or audit link” ] } }
🗂️ Current v0.1 Sample Categories
Crypto Scams → Meme token pump & dumps, fake DeFi projects
Phishing → Suspicious finance/social media messages
Social Engineering → Manipulative messages exploiting trust
🔜 Next Steps
🔍 Planned Updates:
Expanding dataset with more phishing & malware examples
Refining schema & annotation quality
Open to feedback, contributions, and suggestions
If this is useful, bookmark/follow the dataset here:
🔗 huggingface.co/datasets/tegridydev/open-malsec
More updates coming as I expand the datasets 🫡
💬 Thoughts, feedback, and ideas are always welcome! Drop a comment or DMs are open 🤙
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