Summary
This website contacted 5 IPs in 3 countries across 3 domains to perform 5 HTTP transactions. The main domain is queens.cam.ac.uk and was registered NaN years ago.
Submitted URL: https://www.queens.cam.ac.uk/
The Cisco Umbrella rank of the primary domain is #40,109 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns detected.
Safety Factors
Details
Bot Protection Detected
This website is protected by forbidden bot protection. Our scanner was challenged or blocked during access.
Page Title
Queens' College, University of Cambridge
Scan Type
public
Language
English
Category
education
(45%)Domain Information
Within the United Kingdom country-code top-level domain (.ac.uk), 'www.queens.cam.ac.uk' is registered, featuring subdomain 'www.queens'. The core label 'cam' covers 3 characters with one vowel and two consonants. It segments into 1 word: cam. 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 |
|---|---|---|---|
| 2 | 35.214.11.116 | London, England, United Kingdom | AS15169GOOGLE |
| 2 | 142.250.186.131 | United States | AS15169GOOGLE |
| 1 | 142.250.185.74 | United States | AS15169GOOGLE |
| 1 | 2a00:1450:4001:82a::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 1 | 2a00:1450:4001:812::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
Scan History
Scan history not available
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