Question 1

How does ScamLens calculate trust scores?

Accepted Answer

ScamLens calculates trust scores from 0-100 by aggregating data from 90+ threat intelligence sources. Factors include domain age, TLD risk, DNSSEC, security headers, SSL validity, homograph detection, brand impersonation, redirect chains, and community reports.

Question 2

How many threat intelligence sources does ScamLens use?

Accepted Answer

ScamLens uses 90 web security sources (Google Safe Browsing, VirusTotal, OTX, IPQS, AbuseIPDB, URLhaus, PhishTank, Cloudflare Radar, Certificate Transparency, SecurityTrails, PhishDestroy, ThreatFox, Shodan, URLScan, RDAP, Maltiverse, DNSBL, DNS Security, and more) and 3 crypto providers (GoPlus, Etherscan, OpenSanctions).

Question 3

How does ScamLens handle false positives?

Accepted Answer

ScamLens has a feedback loop where users can report false positives or false negatives. Reports are reviewed by moderators. The system tracks accuracy metrics and continuously improves scoring based on community feedback.

Question 4

What is a trust score and what do the levels mean?

Accepted Answer

A trust score ranges from 0 to 100. Dangerous (0–19): Multiple threat sources flag this domain as malicious. Low (20–39): Significant risk indicators found, exercise extreme caution. Medium (40–69): Some concerns detected, verify before interacting. High (70–100): No significant threats detected, appears safe.

Question 5

How often is threat intelligence data refreshed?

Accepted Answer

ScamLens runs automated threat intelligence pipelines every 3 hours, aggregating data from all 90+ sources. When you check a domain, the system makes real-time API calls to each source for the most current data. Community reports and votes update in real-time.

Question 6

Does ScamLens check cryptocurrency addresses?

Accepted Answer

Yes. ScamLens checks crypto addresses across 8 blockchains (Ethereum, BSC, Polygon, Arbitrum, Optimism, Base, Bitcoin, Solana) using GoPlus Security, Etherscan, and OpenSanctions. It detects honeypot tokens, rug pulls, sanctioned addresses, high-tax tokens, and malicious contracts.

Question 7

Is ScamLens open source?

Accepted Answer

ScamLens Chrome extension (OrangeDuck) is open source on GitHub. The scoring algorithm is transparent — all factors and their weights are documented on this methodology page. The threat intelligence aggregation backend is proprietary but the API is publicly available for developers.

Question 8

How does the AI risk summary work?

Accepted Answer

ScamLens uses a multi-model AI system (Claude, Gemini, Grok) with automatic fallback. The AI analyzes all threat source results, domain metadata, and community data to generate a human-readable risk summary in the user's language. AI outputs are validated against source data to prevent hallucinations.

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Trust Score Algorithm

Scoring Factors

90 Threat Intelligence Sources

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False Positive Handling

Data Freshness

Chrome Companion for Safer Browsing