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Security Scan Report: www.royalholloway.ac.uk

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Submitted: Dec 30, 2025, 4:39:30 PMCompleted: Dec 30, 2025, 4:40:51 PMpubliccompleted
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Summary

This website contacted 28 IPs in 3 countries across 22 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/about-us/stories/a-kind-of-obsession-ben-markovits-on-writing-teaching-and-the-rest-of-our-lives/

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

Legitimate university page with no security concerns.

Safety Factors
Well‑established domain with long registration history
No malicious Indicators of Compromise detected
No credential‑harvesting or payment forms present
Domain age information unavailable

Details

Page Title

“A Kind of Obsession:” Ben Markovits on writing, teaching, and The Rest of Our Lives

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(54%)

Domain Information

Domain 'www.royalholloway.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk) with subdomain 'www'. The core label 'royalholloway' covers 13 characters holding 5 vowels versus eight consonants. Word splitting yields two words: royal, holloway. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.royalholloway.ac.uk/about-us/stories/a-kind-of-obsession-ben-markovits-on-writing-teaching-and-the-rest-of-our-lives/

Page Load Overview

3.39s
Total Load Time
74
HTTP Requests
22
Domains
1.2 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:12,618 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning54% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
54%
forum community discussion
53%
news media journalism
47%
education
45%
government public service
38%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2013.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
22.16.168.106Switzerland
AS32934
2142.250.184.200United States
AS15169GOOGLE
22.16.168.109Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
213.107.246.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2216.239.34.36Unknown
AS14618
2216.239.32.36United States
AS15169GOOGLE
2104.20.44.120United States
AS13335CLOUDFLARENET
2142.250.186.138UnknownUnknown
2142.250.186.170United States
AS15169GOOGLE
7428--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16683DA31A5E0013701B341C47DB5B72AAF92D107EE4A8E017DAD85C9AFDADE68D132AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Tr+qsYu5bofOJ4esKdKS64sKBcKvqcsKTsK3sKtsK+sKnsKfsKUsKksDKaLIsKMo:mqCJ4ckXFZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87426:gi4YIaItIQhMADNwULECoCSAItYONsAADxYuUVgFagAAxAiLYgE0PCRhDwTOBAsAAS4xCNMYCBFQIELmjUgUiTBm8akiAUAB

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:000000fffbcbcfcf
Perceptual Hash:b94532e99cb63c61
Difference Hash:96c1c173331b0b1d
Wavelet Hash:000000fffbcbcfcf
Color Hash:#53ac81

Other Hashes

Crop Resistant:96c1c173331b0b1d,969645d1c1c519d1,c383889c4be3cc66,ada4a4b434c7dfcc,646961d1d9c56868

Scan History

Scan history not available

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