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Scaminal
Advanced Website Scam Detection & Trust Analysis
Scaminal is an advanced website scam detection and trust analysis platform. Enter any website URL to inspect security signals, scam indicators, domain age, TLS certificates, and trust scores.
About Scaminal on Product Hunt
“Advanced Website Scam Detection & Trust Analysis”
Scaminal was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #128 on the daily leaderboard. Scaminal is an advanced website scam detection and trust analysis platform. Enter any website URL to inspect security signals, scam indicators, domain age, TLS certificates, and trust scores.
On the analytics side, Scaminal competes within Development and Security — topics that collectively have 9.2k followers on Product Hunt. The dashboard above tracks how Scaminal performed against the three products that launched closest to it on the same day.
Who hunted Scaminal?
Scaminal was hunted by Tanish. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Scaminal including community comment highlights and product details, visit the product overview.
I built Scaminal to help people make safer decisions online. Scam websites and phishing links are becoming harder to recognize, and not everyone has the technical knowledge to identify warning signs. I wanted to create a simple tool where anyone can scan a URL, understand potential risks, and make more informed decisions before trusting a website.
I'd love feedback on Scaminal's detection accuracy, the usefulness of its risk scores and explanations, and how easy it is to understand the results. I'd especially appreciate examples of suspicious URLs it misses, legitimate websites it incorrectly flags, and suggestions for features that would make Scaminal more useful and trustworthy.