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Security Scan Report: www.csgcc.ac.uk

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Submitted: Oct 10, 2025, 10:49:56 PMCompleted: Oct 10, 2025, 10:51:19 PMpubliccompleted
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Summary

This website contacted 80 IPs in 5 countries across 29 domains to perform 77 HTTP transactions. The main domain is csgcc.ac.uk.

Submitted URL: https://www.csgcc.ac.uk/splash?destination=/node/33

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate college website with no security concerns.

Safety Factors
Cookie consent banner (standard GDPR compliance)
Language selection interface
Educational institution domain (csgcc.ac.uk)
Domain age information unavailable

Details

Page Title

Language selection | Coleg Sir Gâr

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

education

(90%)

Domain Information

The domain 'www.csgcc.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk) and includes subdomain 'www'. The registrable portion 'csgcc' spans 5 characters containing zero vowels alongside five consonants. Segmentation suggests two words: cs, gcc. Median word length is 2.5 characters. 'cs' is most common in Malay usage. Usage also turns up in Sinhala and Bosnian contexts. Overall, 'www.csgcc.ac.uk' reads as Malay.

Screenshot

Security scan screenshot of https://www.csgcc.ac.uk/splash?destination=/node/33

Page Load Overview

29.88s
Total Load Time
77
HTTP Requests
29
Domains
997 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:en-gb
Text Length:481 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%
corporate
70%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
03.217.163.189Ashburn, Virginia, United States
AS14618AMAZON-AES
044.194.39.134Ashburn, Virginia, United States
AS14618AMAZON-AES
0172.65.219.229United States
AS13335CLOUDFLARENET
013.134.217.97London, England, United Kingdom
AS16509AMAZON-02
0157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
0185.89.210.46Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
0141.101.90.98United States
AS13335CLOUDFLARENET
0142.250.186.136United States
AS15169GOOGLE
0172.65.238.60United States
AS13335CLOUDFLARENET
0142.250.185.162United States
AS15169GOOGLE
7780--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164031A506144B431136245D1FE73EA8F9015D48BE6FB7C9C79AC8134A7C3AE50D4BABE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:H/xi76Zsh+ZXeY383eBPzrZmfiCRAxFC0Jov4LwVXGeN4r13YAJ6aXnm:fEuZsCscrwfiCRAxFC0JoawVXtN4R3YT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40115:MIRUKAAF3Y8BIYsQFlSQAIsEIAmKGeACCkNwEEiWROxnAsiZADBmIUdBLChGLhQkZLJ1YgsABmAIoWECJzofEUIWISyqME1S

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:c2772646c2817e6c
Perceptual Hash:b525ca7b68926b92
Difference Hash:14d6ce96121accd9
Wavelet Hash:e2772652c2817f6c
Color Hash:#783a4c

Other Hashes

Crop Resistant:cbcbcbcbcbcbcbcb,f8fc786de6cdcefc,f0bc82c6ccfc3a1e,5c3a366cd8a10100,a280c09696d080a2,16d6ce96121accd8

Scan History

Scan history not available

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