Security Scan Report: www.mgs.org

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Submitted: Oct 2, 2025, 7:57:34 PMCompleted: Oct 2, 2025, 7:59:04 PMpubliccompleted
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Summary

This website contacted 33 IPs in 2 countries across 7 domains to perform 101 HTTP transactions. The main domain is mgs.org.

Submitted URL: https://www.mgs.org/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be the legitimate Manchester Grammar School website with no phishing or malware signs.

Safety Factors
Absence of malicious Indicators of Compromise
No credential or payment collection forms
Content aligns with a known legitimate educational institution
Domain age information unavailable

Details

Page Title

Welcome to The Manchester Grammar School

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

education learning

(57%)

Screenshot

Security scan screenshot of https://www.mgs.org/

Page Load Overview

37.97s
Total Load Time
101
HTTP Requests
7
Domains
4.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
HTML Lang Attribute:en
Text Length:92 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning57% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
57%
news media journalism
36%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.67.198.112United States
AS13335CLOUDFLARENET
3216.239.34.36United States
AS15169GOOGLE
352.92.4.113Dublin, Leinster, Ireland
AS16509AMAZON-02
33.5.71.236Dublin, Leinster, Ireland
AS16509AMAZON-02
3104.21.58.22United States
AS13335CLOUDFLARENET
352.92.16.225Dublin, Leinster, Ireland
AS16509AMAZON-02
352.218.85.90Dublin, Leinster, Ireland
AS16509AMAZON-02
352.31.127.40Dublin, Leinster, Ireland
AS16509AMAZON-02
3216.239.32.36United States
AS15169GOOGLE
3188.114.96.3United States
AS13335CLOUDFLARENET
10133--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15FB492D463B9A2FCF006F7FC822394717E922CFA3A22D959C3A55C51E55201C4EA9CE7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:o85C5ctztsY1WgxC0xniMWd1Pl1B+aTQZOdKAfjqW8qzsS9Gcayzo0ImbLJ0D5WI:WXJYuj7i5hiQEE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500000:gkVFEMhDAgaQSoBEyUUARwh6AYLKhZa0BcuBSCheEqRAAwABiGEQUAKQYFxAhM6KzhyOfgIkoAWLiqCQBkAMJhUgqYqLAIbQ

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data