Summary
This website contacted 16 IPs in 3 countries across 12 domains to perform 51 HTTP transactions. The main domain is yf-f3n.pages.dev and was registered NaN years ago.
Submitted URL: https://yf-f3n.pages.dev/awards/best-5g/?
AI Security Verdict
Moderate Risk
Confidence: 78%
The site mimics Speedtest awards on a random pages.dev subdomain; moderate risk due to brand impersonation.
Risk Factors
Safety Factors
Details
Page Title
Best 5G Network Speedtest Awards – 2025
Scan Type
public
Language
English
Category
entertainment media
(40%)Domain Information
The domain name 'yf-f3n.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'yf-f3n'. Count 5 characters in 'pages' with 2 vowels and three consonants. Splitting it apart reveals 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 |
|---|---|---|---|
| 6 | 146.75.122.219 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 3 | 18.244.18.27 | United States | AS16509Amazon.com, Inc. |
| 3 | 23.38.98.90 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 104.18.32.137 | United States | AS13335Cloudflare, Inc. |
| 3 | 216.239.34.36 | United States | AS15169Google LLC |
| 3 | 23.36.162.6 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 188.114.97.3 | United States | AS13335Cloudflare, Inc. |
| 3 | 44.196.230.127 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 3 | 34.253.146.111 | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 3 | 34.203.187.209 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 51 | 16 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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