Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is york.ac.uk and was registered NaN years ago.
Submitted URL: https://www.york.ac.uk/
The Cisco Umbrella rank of the primary domain is #213,851 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 78%
Suspicious form elements on a legitimate domain; treat as high‑risk phishing page.
Risk Factors
Details
Page Title
University of York
Scan Type
public
Language
English
Category
education
(90%)Domain Information
You're looking at domain 'www.york.ac.uk' on the United Kingdom country-code top-level domain (.ac.uk), featuring subdomain 'www'. The core label 'york' covers 4 characters containing 1 vowel alongside 3 consonants. Segmentation suggests one word: york. Median word length comes out to 4 characters. 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 |
|---|---|---|---|
| 62 | 104.18.24.130 | United States | AS13335CLOUDFLARENET |
| 62 | 34.107.218.251 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 62 | 142.251.208.8 | Sweden | |
| 186 | 3 | - | - |
Detected Technologies5
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