Fighting Malicious AI with Defensive AI: ScamShield is Live 🚀
We’ve spent months building a tool that doesn't just say "this looks fishy"—it tells you why.
As devs, we see the behind-the-scenes of how sophisticated phishing and social engineering have become. Scammers are now using the same LLMs we love to generate perfect, urgent, and highly targeted messages. I got tired of being the "manual" second opinion for my friends and family, so we built ScamShield.
The "Why" Behind the Build:
Most security tools are black boxes. ScamShield is built on Explainability.
Heuristics + LLM Analysis: We score fraud risk (0–100) and map specific triggers (payment pressure, impersonation, etc.) directly to the original text.
The Verification Runway: We don’t just stop at "this is a scam." We provide a guided checklist to verify entities through independent sources.
Privacy-by-Design: We aren't in the business of selling data. Scan history is stored locally in the browser (for Pro users), and we treat pasted content as ephemeral real-time analysis.
Infrastructure: Built to scale with Redis-backed rate limiting and an optional email-inbound workflow for those who live in their inboxes.
The Stack is Ready for Testing:
Whether it’s a suspicious marketplace DM, a "urgent" IRS text, or a weird dating app message, you can now get a fast second opinion.
Try the Web Scanner (Free Tier available): 👉 [Insert Your Link Here]
I’d love for this community to kick the tires on the UX and the risk-scoring engine. If you’ve got a "highly sophisticated" scam sitting in your spam folder, feed it to the beast and let me know what you think of the red-flag mapping.
#BuildInPublic #AI #CyberSecurity #LLM #ScamShield #PrivacyFirst #InfoSec
Disclaimer: ScamShield provides automated, informational analysis only. It is not legal, financial, or law-enforcement advice. Always verify through independent, official sources before taking action.
