Summary
API
This website contacted 4 IPs in 2 countries across 13 domains to perform 82 HTTP transactions. The main domain is yikai.pages.dev and was registered 6 years ago.
Submitted URL: https://yikai.pages.dev/awards/
AI Security Verdict
Low Risk
Confidence: 72%
Moderate risk due to brand impersonation on an unknown-age, unranked subdomain without credential collection.
Risk Factors (3)
Safety Factors (4)
Details
Page Title
Speedtest Awards presented by Ooklasecondary capture
Scan Type
public
Domain Name Analysis
The domain name 'yikai.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'yikai'. Count 5 characters in 'pages' holding 2 vowels versus 3 consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 22 | 146.75.122.219 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 20 | 13.32.121.127 | New York, New York, United States | AS16509Amazon.com, Inc. |
| 20 | 104.126.37.50 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 20 | 172.66.47.34 | United States | AS13335Cloudflare, Inc. |
| 82 | 4 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data