Security Scan Report: athletics.kenyon.edu

Redirected to: https://athletics.kenyon.edu/sports/mens-soccer/roster/isaac-cortez/8948

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Submitted: Dec 10, 2025, 10:28:02 PMCompleted: Dec 10, 2025, 10:28:49 PMpubliccompleted
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Summary

This website contacted 102 IPs in 3 countries across 29 domains to perform 118 HTTP transactions. The main domain is athletics.kenyon.edu and was registered NaN years ago.

Submitted URL: https://athletics.kenyon.edu/roster.aspx?rp_id=8948

Effective URL: https://athletics.kenyon.edu/sports/mens-soccer/roster/isaac-cortez/8948Redirected

The Cisco Umbrella rank of the primary domain is #407,701 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
Hosted on standard web server (no IPFS or cloud storage)
Page title and content correspond to legitimate college athletics roster
Domain age information unavailable

Details

Page Title

Isaac Cortez - 2025 - Men's Soccer - Kenyon College Athletics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(67%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'athletics.kenyon.edu' is registered and includes subdomain 'athletics'. Count 6 characters in 'kenyon' containing two vowels alongside 4 consonants. Tokenizing the label suggests one word: kenyon. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://athletics.kenyon.edu/roster.aspx?rp_id=8948

Page Load Overview

10.08s
Total Load Time
118
HTTP Requests
29
Domains
2.6 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:2,467 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content67% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
67%
healthcare medical
56%
education
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
173.225.91.184Ashburn, Virginia, United States
AS14618AMAZON-AES
165.9.175.106United States
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
1104.17.24.14United States
AS13335CLOUDFLARENET
1216.58.206.72United States
AS15169GOOGLE
165.8.131.47United States
AS16509AMAZON-02
1142.250.184.227United States
AS15169GOOGLE
118.244.18.122United States
AS16509AMAZON-02
154.192.87.149United States
AS16509AMAZON-02
1142.250.186.142United States
AS15169GOOGLE
118102--

Detected Technologies3

JQueryv1.9.1
100%
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17FB40388EA26163B40EF737F6B7A84A43173954359082D16798CBB847FE070D99D2F1B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:andVAZ62Avd8454WwodPPK1q5ldM27GDaKdP2POs2XdPOv8ZHsdYoJgjH0dsCt/P:FWCMJjplAEyYqi3JG7jgyY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500000:B2tQABIF0CELDigKxlHCIDCPDhgmABYAciQAADAMF0iSQqSIhAgDoELF/tBhABhAqm9gABPAgIrm4ggkCiGDElkUEIGihMhy

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:00ffffe381819999
Perceptual Hash:eb941969661f591a
Difference Hash:92c2612707333333
Wavelet Hash:00ffffe381819989
Color Hash:#a4e06c

Scan History

Scan history not available

Unable to load historical scan data