Summary
This website contacted 4 IPs in 1 country across 5 domains to perform 20 HTTP transactions. The main domain is ashburton-piano-lessons.pages.dev and was registered NaN years ago.
Submitted URL: https://ashburton-piano-lessons.pages.dev/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate piano lesson site with no security concerns.
Safety Factors
Details
Page Title
Piano Lessons in Ashburton, Devon | Sarah MacAlpine
Scan Type
public
Language
English
Category
education learning
(78%)Domain Information
The domain 'ashburton-piano-lessons.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'ashburton-piano-lessons'. The second-level label 'pages' is 5 characters long split between two vowels and three consonants. Word splitting yields 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 |
|---|---|---|---|
| 4 | 142.250.187.234 | United States | AS15169Google LLC |
| 3 | 188.114.96.3 | United States | AS13335Cloudflare, Inc. |
| 3 | 142.251.157.119 | United States | Unknown |
| 3 | 142.251.127.94 | United States | AS15169Google LLC |
| 13 | 4 | - | - |
Detected Technologies3
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
Unable to load historical scan data