Security Scan Report: sgul.ac.uk

Redirected to:
https://www.citystgeorges.ac.uk/
Submitted: Jun 17, 2026, 10:58:03 AMCompleted: Jun 17, 2026, 10:59:11 AMpubliccompleted

This website contacted 2 IPs in 2 countries across 4 domains to perform 14 HTTP transactions. The main domain is citystgeorges.ac.uk and was registered 30 years ago.

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

Effective URL:

https://www.citystgeorges.ac.uk/
Redirected

The Cisco Umbrella rank of the primary domain is #474,621 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 72%

4
Risk Score

The site appears to be a legitimate university redirect, but heavy JavaScript obfuscation and low domain ranking warrant caution.

Risk Factors (3)
High JavaScript obfuscation (potential hidden malicious behavior)
Low Cisco Umbrella ranking for a brand‑related domain
Redirect to a different domain
Safety Factors (4)
Domain age > 30 years (well‑established)
No credential or payment forms detected
No Indicators of Compromise, YARA matches, or IDS alerts
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Just a moment...other network

Scan Type

public

Domain Name Analysis

Domain 'sgul.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk) and has no subdomain. The registrable portion 'sgul' spans 4 characters with one vowel and 3 consonants. Tokenizing the label suggests two words: s, gul. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.08s
Total Load Time
570 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:400 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
education
45%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
72.58.104.10Poland
AS55532Squiz Pty Ltd
7185.18.139.168United Kingdom
AS60885Zengenti Ltd.
142--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ADD15CE3AC5A600752FA1772547373485221B19F9F09E9DAD3E19D1E4AFDE9BC40C2C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:PNyvMGvmXZzIEb0Ep2W87SZLLYRAc+rvPhRugJ3zZ0qm+c3PXCfYzueh8wAmw:PNGM2ax2Bu3YRAlvJNih+sSQyGHw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6201:kwgQCSKAiMZrhBRgJASAWwmA4CgAWAAAFECCBBGECKIQACjhoNIuhBBAAAwKQAkUQCQewCAaCyURAAAEAACF1ygpwUoIBpcA

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:cfc7c7ffffffffe7
Perceptual Hash:b03132cfc6cccecc
Difference Hash:181e1c100000000c
Wavelet Hash:fcc0c4fcf0f0f4c0
Color Hash:#ac5393

Other Hashes

Crop Resistant:181e1c100000000c

Scan History

Scan history not available

Unable to load historical scan data