Summary
API
This website contacted 3 IPs in 2 countries across 9 domains to perform 77 HTTP transactions. The main domain is worc.ox.ac.uk and was registered 30 years ago.
Submitted URL: http://www.worc.ox.ac.uk
Effective URL:
The Cisco Umbrella rank of the primary domain is #45,402 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
The site appears legitimate, belonging to Worcester College, Oxford, with no malicious activity detected.
Safety Factors
Details
Page Title
Worcester College, Oxford – your place to learn and thrive
Scan Type
public
Domain Name Analysis
Within the United Kingdom country-code top-level domain (.ac.uk), 'www.worc.ox.ac.uk' is registered; it also runs on subdomain 'www.worc'. The second-level label 'ox' is 2 characters long with one vowel and 1 consonant. Splitting it apart reveals one word: ox. 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 |
|---|---|---|---|
| 27 | 142.251.110.95 | United States | AS15169Google LLC |
| 25 | 209.42.21.242 | London, England, United Kingdom | AS51713WHG Hosting Services Ltd |
| 25 | 142.251.13.97 | United States | AS15169Google LLC |
| 77 | 3 | - | - |
Detected Technologies12
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