Summary
This website contacted 19 IPs in 5 countries across 13 domains to perform 96 HTTP transactions. The main domain is bpf-worker.pages.dev and was registered NaN years ago.
Submitted URL: https://bpf-worker.pages.dev/awards/
AI Security Verdict
High Risk
Confidence: 85%
Site impersonates Ookla's Speedtest Awards on an unranked domain, likely a phishing page.
Risk Factors
Details
Page Title
Speedtest Awards presented by Ookla
Scan Type
public
Language
English
Category
technology software
(49%)Domain Information
The domain 'bpf-worker.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'bpf-worker'. The second-level label 'pages' is 5 characters long split between two vowels and 3 consonants. It segments into one 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 | 172.66.44.147 | United States | AS13335CLOUDFLARENET |
| 5 | 2.16.106.161 | Amsterdam, North Holland, Netherlands | AS20940Akamai International B.V. |
| 5 | 2.22.50.201 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 216.58.210.168 | United States | AS15169GOOGLE |
| 5 | 2.16.106.141 | Amsterdam, North Holland, Netherlands | AS20940Akamai International B.V. |
| 5 | 2.22.50.206 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 18.165.122.2 | United States | AS16509AMAZON-02 |
| 5 | 199.232.174.219 | Stockholm, Stockholm County, Sweden | AS54113FASTLY |
| 5 | 44.223.231.188 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 44.206.8.88 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 96 | 19 | - | - |
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
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