Security Scan Report: www.royalholloway.ac.uk

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Submitted: Nov 22, 2025, 5:59:07 AMCompleted: Nov 22, 2025, 6:00:59 AMpubliccompleted
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Summary

This website contacted 96 IPs in 5 countries across 31 domains to perform 98 HTTP transactions. The main domain is royalholloway.ac.uk and was registered NaN years ago.

Submitted URL: https://www.royalholloway.ac.uk/

The Cisco Umbrella rank of the primary domain is #377,682 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain age
Official academic institution domain
No suspicious forms or Indicators of Compromise
Domain age information unavailable

Details

Page Title

Royal Holloway, University of London

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

You're looking at domain 'www.royalholloway.ac.uk' on the United Kingdom country-code top-level domain (.ac.uk) and includes subdomain 'www'. The core label 'royalholloway' covers 13 characters with 5 vowels and eight consonants. Splitting it apart reveals 2 words: royal, holloway. The median word length lands at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.royalholloway.ac.uk/

Page Load Overview

1.24s
Total Load Time
98
HTTP Requests
31
Domains
1.0 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:4,446 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
news media journalism
44%
education learning
38%
forum community discussion
27%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3413.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
6216.239.34.36United States
AS15169GOOGLE
6216.58.206.72United States
AS15169GOOGLE
5157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
552.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4142.250.184.196United States
AS15169GOOGLE
4142.250.185.194United States
AS15169GOOGLE
4184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3172.217.18.8United States
AS15169GOOGLE
3172.217.18.6United States
AS15169GOOGLE
9896--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B173F822A6D0102702B311D47CB9FB5ABF65D043EA0A9E09BD9DC298DFCFD914D0B25E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OmE+qsuYfKoSOJ4iI3jjycznFMV5/cclOp:OSqQf5J4xacKOp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80435:GGpAYCEHBWEHV9JACUgKOMCRO9CQqIANDjKWcyBICLGAoBcACUOcAAitiWIBWAJgARUISQoIjBAdAMBiDizGDqIggRKYFHAA

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:eeec043c08000fff
Perceptual Hash:9353a179cc0f743c
Difference Hash:9ac9cd69f198fbf3
Wavelet Hash:feec043c08081fff
Color Hash:#c6d279

Scan History

Scan history not available

Unable to load historical scan data