ScamMinder vs DeepDetector | duckduckgoose

ScamMinder is a website trust checker that scores URLs for scam and phishing risk. Enter a site address on the homepage to get a trust score, analysis notes, and links to community reviews for that domain.

The platform also accepts screenshot uploads of suspicious SMS, email, or messaging content and runs image-based analysis on JPEG, PNG, GIF, or WebP files up to 10MB. Uploaded images are stored temporarily for 30 days and shared report URLs are kept out of search indexes.

ScamMinder was founded by cybercrime investigator Moh Jorjandi and is run by a team focused on scam research and public education. Registered members can access the API, earn points and badges, and request expert rescans or verification reviews.

DeepDetector from DuckDuckGoose is an enterprise deepfake detection layer for identity verification stacks. It scans images and video for face swaps, injection attacks, and synthetic IDs, then returns explainable heatmaps and confidence scores compliance teams can defend.

Consumer upload checkers score a single file in isolation. DeepDetector sits inside KYC and liveness flows, retrains against 40+ generative model families, and cites about 96% accuracy on real-world deepfakes with a 0.01% false positive rate on live traffic.

Banks and IDV platforms including bunq, Certta, Banco Daycoval, and the Netherlands Forensic Institute embed DuckDuckGoose in production. DeepDetector offers API, SDK, and on-prem deployment with sub-second scoring designed for live onboarding.