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ScamMinder vs. Scamadviser vs. Scam-detector: Which Scam Detection Service is Most Reliable?

ScamMinder vs. Scamadviser vs. Scam-detector: Which Scam Detection Service is Most Reliable?

With online scams becoming more sophisticated, choosing a trustworthy scam detection service is crucial for protecting users. This study evaluates three major scam detection platforms—ScamMinder.com, Scamadviser.com, and Scam-detector.com—by comparing their scores against manually verified legitimacy assessments.

Methodology

We compiled a dataset of domains manually rated on a legitimacy scale, with 0 indicating a scam, 50 a shady website, and 100 a fully legitimate site. We then measured the correlation between these manual scores and those generated by the three scam detection services.

Key Findings

The correlation between each service’s score and the manual legitimacy assessment was as follows:

  • ScamMinder.com: 0.84
  • Scamadviser.com: 0.62
  • Scam-detector.com: 0.56

Analysis of the Results

The results show that ScamMinder.com is the most reliable service, with a strong correlation of 0.84 to manually verified legitimacy ratings. This suggests that its detection algorithms closely reflect real-world scam identification.

Scamadviser.com follows with a moderate correlation of 0.62, indicating reasonable accuracy but less reliability than ScamMinder.com.

Scam-detector.com, with the lowest correlation (0.56), appears to have the weakest alignment with manually validated scam ratings.

Visualizing the Data

To illustrate these findings, we created two visual representations:

Bar Chart – Showing the correlation strength of each service with manual legitimacy assessments.

Bar Chart

Pie Chart – Highlighting the relative accuracy of each scam detection platform.

Pie Chart
Pie Chart

These visuals confirm that ScamMinder.com significantly outperforms the other two services in scam detection accuracy.

Conclusion

If you need a reliable scam detection tool, ScamMinder.com is the best option based on this analysis. Its high correlation with manually verified data suggests a well-refined scam detection model.

While Scamadviser.com performs moderately well, Scam-detector.com lags behind in accuracy. Users should exercise caution when relying solely on these services for scam assessments.

As online fraud continues to evolve, scam detection services must continuously improve their models to keep users safe. This study offers a data-driven approach to identifying the most reliable scam detection service available today.

Moh Jorjandi

Moh Jorjandi

Moh is an independent cybersecurity expert and investigative journalist with over seven years of experience in analyzing cybercrimes. As the founder of Scamminder, Moh is dedicated to raising public awareness about online scams and cyber threats. He leverages his deep knowledge in cybersecurity to help individuals and businesses identify potential fraud and navigate the complex digital landscape safely. Mohammad's mission is to empower people with the tools and knowledge they need to stay safe online.

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