Summary
This website contacted 143 IPs in 7 countries across 55 domains to perform 128 HTTP transactions. The main domain is afshinpanel.pages.dev and was registered NaN years ago.
Submitted URL: https://afshinpanel.pages.dev/sv
AI Security Verdict
High Risk
Confidence: 88%
Impersonates Ookla Speedtest on an unranked domain; likely phishing.
Risk Factors
Details
Page Title
Speedtest av Ookla - Det globala hastighetstestet för bredband
Scan Type
public
Language
Swedish
Category
technology software
(44%)Domain Information
The domain 'afshinpanel.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'afshinpanel'. Count 5 characters in 'pages' holding 2 vowels versus 3 consonants. Splitting it apart reveals one word: pages. Average segment length settles 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 |
|---|---|---|---|
| 128 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 0 | 35.207.138.134 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 0 | 104.18.32.137 | United States | AS13335CLOUDFLARENET |
| 0 | 34.120.133.55 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 0 | 23.36.162.8 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 35.244.159.8 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 0 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 0 | 34.36.209.34 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 0 | 69.173.156.138 | United States | AS26667RUBICONPROJECT |
| 0 | 54.81.7.177 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 128 | 143 | - | - |
Detected Technologies4
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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