Security Scan Report: athletics.macalester.edu

Site favicon
Submitted: Nov 2, 2025, 12:55:50 AMCompleted: Nov 2, 2025, 12:59:21 AMpubliccompleted
Loading additional data...

Summary

This website contacted 121 IPs in 3 countries across 25 domains to perform 147 HTTP transactions. The main domain is athletics.macalester.edu and was registered NaN years ago.

Submitted URL: https://athletics.macalester.edu/news/2025/11/1/womens-cross-country-womens-cross-country-scots-take-fourth-at-miac-championships-norquist-fox-all-miac.aspx

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established educational institution domain
Standard informational content with no credential collection
Domain age information unavailable

Details

Page Title

Women’s Cross Country: Scots Take Fourth at MIAC Championships; Norquist, Fox All-MIAC - Macalester College Athletics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

The domain 'athletics.macalester.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'athletics'. Its registrable label 'macalester' stretches across 10 characters split between four vowels and six consonants. Word splitting yields 2 words: maca, lester. Expect 5 characters per word on average. The linguistic tilt is Malay for 'macam'. Usage also turns up in Catalan and Bosnian contexts.

Screenshot

Security scan screenshot of https://athletics.macalester.edu/news/2025/11/1/womens-cross-country-womens-cross-country-scots-take-fourth-at-miac-championships-norquist-fox-all-miac.aspx

Page Load Overview

6.55s
Total Load Time
147
HTTP Requests
25
Domains
5.1 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:7,155 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: static
Method: structural

All Detected Categories

education
90%
news/blog
40%
news
30%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2554.192.87.20United States
AS16509AMAZON-02
1374.205.103.184United States
AS33070RMH-14
1218.66.122.103United States
AS16509AMAZON-02
10142.251.140.168United States
AS15169GOOGLE
10104.17.25.14United States
AS13335CLOUDFLARENET
10216.239.32.36United States
AS15169GOOGLE
7142.250.185.142United States
AS15169GOOGLE
5172.64.147.18United States
AS13335CLOUDFLARENET
5142.250.181.227United States
AS15169GOOGLE
4174.143.40.29United States
AS33070RMH-14
147121--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A934C9D8AE27067740EF22E77B7101547073D903DD4A2915B6CCE3A83BE0E5E9A57E0A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9bUQAJH+BrdnhMdOasL8ing463nnnR5TLaxllZHsK:9bVAZ+B5hIp3nylZV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:237653:ieyAIgCBQqCiNTIaYBcAQiWCzgDUAYEUTBR8AaBhAqAIVEuYU4AIMKGw4kRMBS9BGQRlVghQJQPRgUcgIpgBRGkmVMCcAABI

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:ff00ffe1c1819999
Perceptual Hash:ebd49c70e18aa68b
Difference Hash:2e3e2b0b0b233333
Wavelet Hash:ff00bdf381819999
Color Hash:#c1d279

Scan History

Scan history not available

Unable to load historical scan data