Security Scan Report: mcgillathletics.ca

Redirected to:
https://mcgillathletics.ca/sports/baseball/stats/2025/montr-al-/boxsco...
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Submitted: Oct 9, 2025, 8:27:17 PMCompleted: Oct 9, 2025, 8:28:36 PMpubliccompleted
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Summary

This website contacted 71 IPs in 2 countries across 19 domains to perform 160 HTTP transactions. The main domain is mcgillathletics.ca and was registered NaN years ago.

Submitted URL: https://mcgillathletics.ca/boxscore.aspx?id=12420

Effective URL: https://mcgillathletics.ca/sports/baseball/stats/2025/montr-al-/boxscore/12420Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate McGill Athletics page with no security concerns.

Safety Factors
Established university domain (mcgillathletics.ca)
No suspicious forms or data collection
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

Men's Baseball vs Montréal* on 10/8/2025 - Box Score - McGill University Athletics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(45%)

Domain Information

The domain 'mcgillathletics.ca' uses the Canadian country-code top-level domain (.ca) without a subdomain. Its registrable label 'mcgillathletics' stretches across 15 characters containing 4 vowels alongside 11 consonants. Splitting it apart reveals two words: mcgill, athletics. Expect 7.5 characters per word on average. The linguistic tilt is Vietnamese for 'mcgill'. You may catch it in Chinese (Pinyin) and English as well. Overall, 'mcgillathletics.ca' reads as Vietnamese.

Screenshot

Security scan screenshot of https://mcgillathletics.ca/boxscore.aspx?id=12420

Page Load Overview

30.42s
Total Load Time
160
HTTP Requests
19
Domains
1.7 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:5,752 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content45% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
45%
news media journalism
37%
entertainment media
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20142.250.186.40United States
AS15169GOOGLE
218.66.122.95United States
AS16509AMAZON-02
254.192.87.10United States
AS16509AMAZON-02
218.66.122.103United States
AS16509AMAZON-02
2104.17.25.14United States
AS13335CLOUDFLARENET
2104.18.40.238United States
AS13335CLOUDFLARENET
218.66.122.122United States
AS16509AMAZON-02
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2216.239.32.36United States
AS15169GOOGLE
274.205.103.184United States
AS33070RMH-14
16071--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B7B48588E927153B81EF73AF27B541983173D903AD492D057D4CA7983FD0B09AAC6F1A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:t2+/L0y279MwftKqTBGsGIpcNURcVzJ6gduL/yt9xUd6vjSZpCcdxX73FZlGdAS+:tXQRZ5/83M7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500039:E4iRAQqJkYyISAiAMDSAgQWhooUMaE+ExNWAUpjICCYMogLkGFEAAABbFLA40oTwVBEEho6kGIcApwE0ECsYEIHQAmF8BkGL

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:81009fb9ffffffff
Perceptual Hash:fb6c3470eaaaa8b0
Difference Hash:23673361595f5c5c
Wavelet Hash:80008191edafefef
Color Hash:#d2592d

Scan History

Scan history not available

Unable to load historical scan data