Summary
API
This website contacted 10 IPs in 5 countries across 13 domains to perform 15 HTTP transactions. The main domain is bb-et6.pages.dev and was registered 6 years ago.
Submitted URL: http://bb-et6.pages.dev/
Effective URL:
AI Security Verdict
Moderate Risk
Confidence: 78%
Site shows moderate risk due to unknown subdomain age and high script obfuscation; no clear malicious activity detected.
Risk Factors (4)
Safety Factors (4)
Details
Page Title
Microsoft – kunstig intelligens, cloud, produktivitet, databehandling, gaming og appssecondary capture
Scan Type
public
Domain Name Analysis
Within the developer-focused generic top-level domain (.dev), 'bb-et6.pages.dev' is registered with subdomain 'bb-et6'. The second-level label 'pages' is 5 characters long holding two vowels versus 3 consonants. Segmentation suggests 1 word: pages. Expect 5 characters per word on average. 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 | 146.75.121.91 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 1 | 150.171.109.194 | United States | AS8075Microsoft Corporation |
| 1 | 40.126.32.72 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 1 | 40.126.31.1 | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 1 | 20.42.73.25 | United States | AS8075Microsoft Corporation |
| 1 | 23.36.162.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 172.66.47.51 | United States | AS13335Cloudflare, Inc. |
| 1 | 23.197.128.15 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 1 | 23.52.181.212 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 1 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 15 | 10 | - | - |
Detected Technologies2
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