ScanMalware.com

Security Scan Report: www.ulster.ac.uk

Submitted: Oct 30, 2025, 9:24:07 AMCompleted: Oct 30, 2025, 9:26:08 AMpubliccompleted
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Summary

This website contacted 61 IPs in 6 countries across 20 domains to perform 89 HTTP transactions. The main domain is ulster.ac.uk.

Submitted URL: https://www.ulster.ac.uk/staff/s-zhang

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate university staff page with no security concerns.

Safety Factors
Established academic institution domain
Content matches legitimate staff profile
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Dr Shuai Zhang - Senior Lecturer in Computing Science - staff

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Within the United Kingdom country-code top-level domain (.ac.uk), 'www.ulster.ac.uk' is registered, featuring subdomain 'www'. The core label 'ulster' covers 6 characters split between two vowels and four consonants. Word splitting yields one word: ulster. The linguistic tilt is Breton for 'ulster'. You will also see it in English and Galician contexts. Net impression: Breton phrase with single-word simplicity.

Screenshot

Security scan screenshot of https://www.ulster.ac.uk/staff/s-zhang

Page Load Overview

62.31s
Total Load Time
89
HTTP Requests
20
Domains
1.3 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:5,877 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
corporate
35%
education learning
26%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
123.50.131.223Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1104.16.174.226United States
AS13335CLOUDFLARENET
154.192.35.122United States
AS16509AMAZON-02
1142.250.185.132United States
AS15169GOOGLE
1184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.186.98United States
AS15169GOOGLE
1192.195.43.123United Kingdom
AS786Jisc Services Limited
1142.250.185.227United States
AS15169GOOGLE
1104.18.161.117United States
AS13335CLOUDFLARENET
8961--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A0D31F627EE264335593F1EBE5226667926BC00FCE452EA1FAEC41385FC3C4187E3919

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1nks1VhQsUWIULoEHcoDgDoN5zow8oQHof63HRh7VqL0:RnPoEHcoDgDoN5zow8oQHofM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:130069:ABBnALCRtcCgCgJwwoGKM8iEWEFpHKC4mITADYNcBSEGCOK8gBchowQBAiAOPtAQBg4ABjaMhkAkzgBgL0uAQVQkjKQBAWeU

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:b10f0fbf612191ff
Perceptual Hash:8e08cc63e36fe32c
Difference Hash:43bcbd6b4b4b2b71
Wavelet Hash:b1170fa3a3a101ff
Color Hash:#40bfae

Other Hashes

Crop Resistant:43bcbd6b4b4b2b71,4145512b45014180,857171717195154d,4145556161554541

Scan History

Scan history not available

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