Summary
This website contacted 17 IPs in 4 countries across 12 domains to perform 53 HTTP transactions. The main domain is cjh1.pages.dev and was registered NaN years ago.
Submitted URL: https://cjh1.pages.dev/awards/5g-video-experience/?
AI Security Verdict
High Risk
Confidence: 80%
Page claims a Claro award on an unrelated, unranked domain – likely phishing.
Risk Factors
Details
Page Title
Best 5G Video Experience Speedtest Awards – 2025
Scan Type
public
Language
English
Category
entertainment media
(55%)Domain Information
Domain 'cjh1.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'cjh1'. The second-level label 'pages' is 5 characters long containing 2 vowels alongside 3 consonants. Segmentation suggests one word: pages. The median word length lands at five characters. 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 |
|---|---|---|---|
| 5 | 3.218.60.246 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 3 | 216.239.32.36 | United States | AS15169GOOGLE |
| 3 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 3 | 199.232.174.219 | Stockholm, Stockholm County, Sweden | AS54113FASTLY |
| 3 | 95.101.74.45 | Schiphol, North Holland, Netherlands | AS20940Akamai International B.V. |
| 3 | 3.218.185.129 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 2.18.244.23 | Schiphol, North Holland, Netherlands | AS20940Akamai International B.V. |
| 3 | 18.215.47.119 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 53 | 17 | - | - |
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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