Security Scan Report: www.worc.ac.uk

Submitted: Oct 24, 2025, 11:51:22 AMCompleted: Oct 24, 2025, 11:54:36 AMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university website with no security concerns.

Safety Factors
Official university domain
Legitimate branding and content
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

University of Worcester | Top for Jobs | University of Worcester

Scan Type

public

Domain Name Analysis

The domain name 'www.worc.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk) with subdomain 'www'. Its registrable label 'worc' stretches across 4 characters with one vowel and 3 consonants. Tokenizing the label suggests 2 words: wor, c. Expect two characters per word on average. The linguistic tilt is Breton for 'c'. Secondary signals appear in Chinese (Zhuyin) and Afrikaans.

Screenshot

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

Page Load Overview

5.30s
Total Load Time
6.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,930 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning74% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
74%
education
45%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
70185.18.139.184United Kingdom
AS60885Zengenti Ltd.
723.36.162.7Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5172.217.18.8United States
AS15169GOOGLE
5157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
53.212.41.59Ashburn, Virginia, United States
AS14618AMAZON-AES
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3142.251.140.170United States
AS15169GOOGLE
3216.58.206.35United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
1142.250.186.99United States
AS15169GOOGLE
10866--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17F54E9330318FB3A5D43A6C4DE377F9B71C9A48BE645548FD7EB8A6684068F58CE4428

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:faRk545aRk5Qj9b4L8n4qvc4x6FsvRo4JeVPF:fkk5ykk5Qj9bF4qvHY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:289865:4hoBoAAJIMBniIHAgfIjgQCA0FowYBqUgICCWpgbBSjEASIhQXGGgJABwKYIIJIpQB5VHIYmIMUVEwABMgGgTjAXoQO+QyIB

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data