Security Scan Report: newcastle.ac.uk

Redirected to:
https://www.ncl.ac.uk/
Bot Protection Detected

This website is protected by datadome bot protection. The screenshot and page details below show the page as it was captured.

Site favicon
Submitted: Sep 9, 2026, 5:17:34 PMCompleted: Sep 9, 2026, 5:18:42 PMpubliccompleted

Summary

This website contacted 30 IPs in 5 countries across 42 domains to perform 2 HTTP transactions. The main domain is ncl.ac.uk and was registered 19 years ago.

Submitted URL: https://newcastle.ac.uk

Effective URL: https://www.ncl.ac.uk/Redirected

The Cisco Umbrella rank of the primary domain is #764,058 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site is a legitimate university page with no phishing or malware indicators.

Safety Factors
Established domain age
Self-branding matches domain
No malicious IoC or YARA hits
No credential collection forms
Domain age information unavailable

Details

Page Title

Newcastle University | World Top 150 Research-led UK University | Newcastle University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain name 'newcastle.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk) without a subdomain. The core label 'newcastle' covers 9 characters split between 3 vowels and six consonants. Tokenizing the label suggests 1 word: newcastle. Average segment length settles at nine characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://newcastle.ac.uk

Page Load Overview

3.78s
Total Load Time
70
HTTP Requests
42
Domains
3.3 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
Text Length:69,335 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: static
Method: ml+structural

All Detected Categories

education
45%
technology software
38%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1218.245.46.61Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2128.240.216.80Newcastle upon Tyne, England, United Kingdom
AS786Jisc Services Limited
2128.240.216.85Newcastle upon Tyne, England, United Kingdom
AS786Jisc Services Limited
223.36.162.212Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.251.110.113Google · CDNUnited States
AS15169Google LLC
2151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
2142.250.154.154Google · CDNUnited States
AS15169Google LLC
265.9.130.6Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.245.46.40Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
223.212.205.83Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
7030--

Page Statistics

70
Requests
18
Unique Domains
4.2 MB
Total Size

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15DF1742799018C670262E0317DF67AC0E315530B8D886C99B6DD006D6FEEBEE997335E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:fonK0oUwdNauBubouKB2225b0vQPei54s8dwTNJtcM:XnMi6oy2elcM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7453:IyQQQEBJAAL4BEi+DiDhKyoaATjICACiASkqoFBhwLIMESB2GoSAo44QEJGQyoQU5MAIDUUEgEZBJIAAkgAEqIuQXBlCwFZk

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:660030002000ffff
Perceptual Hash:c314b865b5bcc5c3
Difference Hash:d4dcc4f8cec60929
Wavelet Hash:ff1438046000ffff
Color Hash:#78553a

Scan History

Scan history not available

Unable to load historical scan data