Evening! \ud83e\udee1 <\/p>\n
Just uploaded Open-MalSec v0.1<\/strong>, an early-stage open-source cybersecurity dataset<\/strong> focused on phishing, scams, and malware-related text samples<\/strong>. <\/p>\n \ud83d\udcc2 This is the base version (v0.1)<\/strong>\u2014just a few structured sample files. Full dataset builds will come over the next few weeks. <\/p>\n \ud83d\udd17 Dataset link:<\/strong> huggingface.co\/datasets\/tegridydev\/open-malsec<\/a> <\/p>\n \ud83d\udd0d What\u2019s in v0.1? <\/p>\n A few structured scam examples<\/strong> (text-based) \u26a0\ufe0f This is not a full dataset yet.<\/strong> Just establishing the structure + getting feedback. <\/p>\n Each entry follows a structured JSON format<\/strong> with: <\/p>\n “instruction” \u2192 Task prompt (e.g., “Evaluate this message for scams”) 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” ] } } <\/p>\n \ud83d\uddc2\ufe0f Current v0.1 Sample Categories<\/p>\n Crypto Scams \u2192 Meme token pump & dumps, fake DeFi projects<\/p>\n Phishing \u2192 Suspicious finance\/social media messages<\/p>\n Social Engineering \u2192 Manipulative messages exploiting trust<\/p>\n \ud83d\udd1c Next Steps<\/p>\n \ud83d\udd0d Planned Updates:<\/p>\n Expanding dataset with more phishing & malware examples<\/p>\n Refining schema & annotation quality<\/p>\n Open to feedback, contributions, and suggestions<\/p>\n If this is useful, bookmark\/follow the dataset here:<\/p>\n \ud83d\udd17 huggingface.co\/datasets\/tegridydev\/open-malsec<\/a><\/p>\n More updates coming as I expand the datasets \ud83e\udee1<\/p>\n \ud83d\udcac Thoughts, feedback, and ideas are always welcome! Drop a comment or DMs are open \ud83e\udd19<\/p>\n<\/div>\n submitted by \/u\/tegridyblues <\/a>
Covers DeFi, crypto, phishing, and social engineering<\/strong>
Initial labelling format<\/strong> for scam classification <\/p>\n\ud83d\udcc2 Current Schema & Labelling Approach<\/h2>\n
“input” \u2192 Source & message details (e.g., Telegram post, Tweet)
“output” \u2192 Scam classification & risk indicators <\/p>\nSample Entry<\/strong><\/h3>\n
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