Summary
This website contacted 17 IPs in 3 countries across 6 domains to perform 39 HTTP transactions. The main domain is lmh.ox.ac.uk.
Submitted URL: https://www.lmh.ox.ac.uk/
The Cisco Umbrella rank of the primary domain is #82,792 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate Oxford college webpage with no signs of malicious activity.
Safety Factors
Details
Page Title
Homepage | Lady Margaret Hall
Scan Type
public
Language
English
Category
education
(45%)Domain Information
Domain 'www.lmh.ox.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk) and includes subdomain 'www.lmh'. The second-level label 'ox' is 2 characters long containing 1 vowel alongside 1 consonant. Word splitting yields one word: ox. 'ox' is most common in English usage. It also appears in Icelandic and Sinhala contexts. Overall, 'www.lmh.ox.ac.uk' reads as English with single-word simplicity.
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 |
|---|---|---|---|
| 7 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 142.250.184.232 | United States | AS15169GOOGLE |
| 2 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 52.51.18.160 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 2 | 172.66.163.83 | United States | AS13335CLOUDFLARENET |
| 2 | 2001:4860:4802:34::36 | Unknown | Unknown |
| 2 | 2a02:26f0:3500:8::210:a48 | Unknown | Unknown |
| 2 | 2606:4700:10::ac42:a353 | Unknown | Unknown |
| 2 | 2a02:26f0:3500:8::210:a58 | Unknown | Unknown |
| 39 | 17 | - | - |
Detected Technologies9
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
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