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LIMITED DATA

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Security Scan Report: www.ne-worcs.ac.uk

Redirected to:
https://www.ne-worcs.ac.uk/
Submitted: Jun 15, 2026, 10:02:27 AMCompleted: Jun 15, 2026, 10:04:21 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is ne-worcs.ac.uk and was registered NaN years ago.

Submitted URL: http://www.ne-worcs.ac.uk

Effective URL: https://www.ne-worcs.ac.uk/Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

502 Bad Gateway

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

The domain 'www.ne-worcs.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk) with subdomain 'www'. The second-level label 'ne-worcs' is 8 characters long containing two vowels alongside five consonants, plus one hyphen. Tokenizing the label suggests 3 words: ne, w, orcs. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.ne-worcs.ac.uk

Page Load Overview

0.31s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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
Text Length:2,683 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%
corporate
70%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3195.195.201.142Worcester, England, United Kingdom
AS786Jisc Services Limited
31--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10333952269C0193702739585AE3177B9FE82814BDA8E5C4539ED2F978FF2D35DC4322A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:jEIrzB8ZcgKFBP9LnNuS/UnkbQEt3a3qEappJQaLqM5XUGBwiBYrTtqrG72Rzm2/:h4cgqjpQQQ3M5XP+rTlkmQVP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53036:VHSGBCRJw5YOIoAphAE8Bip9EoJFAREpABKIDzJ5IwzYBWaggzGGoZQEgGAgUYYACyA5IGAKEathDAlolcYVZEQAUwADSA5R

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc663333
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#55931f

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data