How Oten Trust Works

The Oten Trust Workflow

Oten Trust operates through a high-speed pipeline that takes a URL as input and produces a comprehensive risk profile in milliseconds.

1. Ingestion: Real-time data retrieval from global registries and live DNS.

2. AI-Powered Evaluation: Our AI layer looks deeper into content, structure, and patterns that may not appear in technical records.

3. Scoring: The results are synthesized into a 0–100 Trust Score.

1. Rule-Based Analysis

The Rule-Based system checks objective, verifiable data points that indicate how credible or risky a domain might be.

1

Parse & Validate the URL

Breaks down the structure and ensures the URL is accessible and formatted correctly.

2

Collect Data Signals

It gathers domain information such as:

• DNS and WHOIS records (to check registration details and domain age)

• SSL certificate validity (to confirm encryption and authenticity)

• Email security settings like SPF, DKIM, and DMARC

• Hosting details (IP, ASN, location, and hosting provider reputation)

3

Reputation Cross Checks

The system cross-references global threat intelligence feeds, safe browsing lists, and known malicious databases to detect previously reported risks.

2. AI-Powered Evaluation

The AI layer looks deeper into content, structure, and patterns that may not appear in technical records.

1

Step 1: Analyze the URL Pattern

AI models study how the domain and URL are constructed

2

Step 2: Scan the Page Content (HTML)

The system reads and interprets the page’s visible text, metadata, and language tone to detect signs of impersonation, fake login pages, or scam wording.

3

Step 3: Inspect the DOM Tree

Oten Trust's crawler examines how the webpage is built — uncovering hidden links, iframes, scripts, or redirects that might point to unsafe destinations.

4

Step 4: AI Risk Scoring

Each page is evaluated by AI models trained on verified phishing and safe datasets. The output includes a Risk score indicating how strongly the AI believes the domain is safe or suspicious.