Summary
This website contacted 5 IPs in 3 countries across 3 domains to perform 5 HTTP transactions. The main domain is xaverian.ac.uk and was registered NaN years ago.
Submitted URL: https://www.xaverian.ac.uk/
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Bot Protection Detected
This website is protected by forbidden bot protection. Our scanner was challenged or blocked during access.
Page Title
Robot Challenge Screen
Scan Type
public
Domain Information
The domain 'www.xaverian.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk), featuring subdomain 'www'. The second-level label 'xaverian' is 8 characters long split between four vowels and 4 consonants. Segmentation suggests two words: xaveria, n. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 2 | 142.250.186.131 | United States | AS15169GOOGLE |
| 2 | 35.214.112.218 | London, England, United Kingdom | AS15169GOOGLE |
| 1 | 142.250.185.234 | United States | AS15169GOOGLE |
| 1 | 2a00:1450:4001:830::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 1 | 2a00:1450:4001:82b::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 5 | - | - |
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