Security Scan Report: www.york.ac.uk

Submitted: Nov 15, 2025, 10:44:29 PMCompleted: Nov 15, 2025, 10:45:32 PMpubliccompleted
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Summary

This website contacted 72 IPs in 3 countries across 26 domains to perform 191 HTTP transactions. The main domain is york.ac.uk.

Submitted URL: https://www.york.ac.uk/colleges/james/

The Cisco Umbrella rank of the primary domain is #213,851 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university page with no detected threats.

Safety Factors
Reputable educational institution domain
No credential or payment collection forms
No malicious Indicators of Compromise matches found
Standard hosting without IPFS or cloud storage
No noindex meta tags indicating hidden content
Domain age information unavailable

Details

Page Title

James - James, University of York

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

The domain 'www.york.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk), featuring subdomain 'www'. The second-level label 'york' is 4 characters long containing 1 vowel alongside three consonants. Tokenizing the label suggests 1 word: york. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.york.ac.uk/colleges/james/

Page Load Overview

18.09s
Total Load Time
191
HTTP Requests
26
Domains
2.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-GB
Text Length:7,474 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%
news/blog
40%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4967.220.228.202Dublin, Leinster, Ireland
AS16509AMAZON-02
267.220.224.144Dublin, Leinster, Ireland
AS16509AMAZON-02
22.18.64.212Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.250.185.166United States
AS15169GOOGLE
223.36.163.235Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
234.117.162.98Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
22.18.64.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.250.185.198United States
AS15169GOOGLE
252.215.31.133Dublin, Leinster, Ireland
AS16509AMAZON-02
19172--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14BB38333514A283F5B11C7D278B6726CE05BA97EFCCA0D5AF2B302396291DD321B819D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7liToQQMoQooQ9oQDvCdfuroQLg+/WoQio3FeVeFoQIMoQAoQ1oQrvjoQDg+/WoQ:Z7CEzO4bfmzfiNiB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:113803:CCSERgA5AKYCAIhFmiQcSMCwEDElayghiActGpqW4KTjEEocZbEGScHDaCGIUMBkBAgKGAKUEhDACIkAMARNRAhQgzZBCICQ

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

Average Hash:00ffff381818f0f0
Perceptual Hash:ca93f07c174890fe
Difference Hash:982df17171a1a145
Wavelet Hash:00ffff381858d0f1
Color Hash:#e0946c

Scan History

Scan history not available

Unable to load historical scan data