Overview
Detect potential scam messages on Facebook and LinkedIn
Tired of scam messages in your inbox? Fake job offers, phishing links, shady crypto pitches — they’re everywhere. ScamSniff is your smart browser sidekick that spots suspicious messages before you fall for them. 🛡️ What is ScamSniff? A lightweight Chrome extension that helps protect you across LinkedIn and Facebook by detecting scammy language in real time. It highlights red flags, warns you before replying, and does it all privately on your device. 🧠 How it works ScamSniff uses keyword and pattern detection to scan messages in your browser. When a message contains scam signals — like urgent language, crypto bait, or verification traps — you’ll get an instant heads-up. 🔐 Privacy-first No trackers, no servers, no nonsense. ScamSniff works 100% locally in your browser. Your messages never leave your screen. 🌍 Supported platforms Facebook Messenger LinkedIn (More coming soon: Discord, WhatsApp, Telegram, Fiverr and more) ⚙️ Features Real-time scam message detection Highlights suspicious phrases and scores them Whitelist users you trust Customize your own scam wordlist Fast, private, and always on 💬 Suggest features or vote on the roadmap 👉 https://github.com/royboy1990/scam-sniffer/issues 🚫 Don't let scammers waste your time. Install ScamSniff and browse smarter. 📝 Important Note ScamSniff is a scam awareness tool, not a security guarantee. Detection is based on keywords and patterns, so some scam messages may not be flagged, and some normal messages may be flagged by mistake. Always use your own judgment and caution online.
Details
- Version1.0.0
- UpdatedJune 13, 2025
- Offered bylevyroy1990
- Size40.53KiB
- LanguagesEnglish
- Developer
Email
levyroy1990@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
