Security Scan Report: stcg.ac.uk

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Submitted: Oct 6, 2025, 10:55:36 PMCompleted: Oct 6, 2025, 10:59:01 PMpubliccompleted
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Summary

This website contacted 101 IPs in 4 countries across 35 domains to perform 220 HTTP transactions. The main domain is stcg.ac.uk.

Submitted URL: https://stcg.ac.uk/kingston-college

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate college page with no security concerns.

Safety Factors
Standard educational website content
No credential collection or payment collection forms
No suspicious external links or redirects
Domain age information unavailable

Details

Page Title

Kingston College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Domain 'stcg.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk). The registrable portion 'stcg' spans 4 characters split between zero vowels and four consonants. Splitting it apart reveals 2 words: s, tcg. Expect 2 characters per word on average. The linguistic tilt is Czech for 's'. Usage also turns up in Slovak and Croatian contexts. Taken together, it feels Czech.

Screenshot

Security scan screenshot of https://stcg.ac.uk/kingston-college

Page Load Overview

2.88s
Total Load Time
220
HTTP Requests
35
Domains
11.0 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-gb
Text Length:7,151 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
education learning
30%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
81103.77.224.20Australia
AS136165X4B DDoS Protected Announcements
33146.75.120.217Frankfurt am Main, Hesse, Germany
AS54113FASTLY
20172.64.147.188United States
AS13335CLOUDFLARENET
1734.120.15.67Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1234.120.202.204Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
10104.18.40.68United States
AS13335CLOUDFLARENET
6142.250.186.35United States
AS15169GOOGLE
523.32.239.72Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5162.159.138.60United States
AS13335CLOUDFLARENET
535.190.43.134United States
AS396982GOOGLE-CLOUD-PLATFORM
220101--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D674F9B0D58C04E5A3B6C89BD365B72C6536F335CA410C55F02FCE5C5EC6A2A22DAB39

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:R1NL25YHuntDYEAlKg5e1fMloK/CEvmp7XBXS6t39Tbm8EncycBCkZrk7G:RvHHuntDYE2Kg5e1fMlJCbN39PmMT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:362665:gKFwmTwiwKIJQBDWlIBQQyASHigWAqQUAPqxbEL4AjZF0ABCmCUAQBEQoALMN4bAKKMagIMAKEFD5SL5ZEABcoDgjQkhA8ZA

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:fffffffdfc38081a
Perceptual Hash:8af18dcbd491c5f0
Difference Hash:934b36cd8d697332
Wavelet Hash:ffcf3775ec000018
Color Hash:#3a785e

Scan History

Scan history not available

Unable to load historical scan data