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Security Scan Report: athletics.rose-hulman.edu

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/b93b14d0-d0c2-438e-b44d-253f5a776c4eDomain and IP registration (RDAP)/api/v1/rdap/b93b14d0-d0c2-438e-b44d-253f5a776c4eHow often this domain was scanned/api/v1/domain/stats/athletics.rose-hulman.eduScan history for this domain/api/v1/domain/history/athletics.rose-hulman.edu?limit=15
This website contacted 10 IPs in 1 country across 34 domains to perform 129 HTTP transactions. The main domain is rose-hulman.edu and was registered 38 years ago.

Submitted URL: https://athletics.rose-hulman.edu/sports/football/roster/jacob-fields/16322

The Cisco Umbrella rank of the primary domain is #553,737 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate university athletics page with no malicious indicators.

Safety Factors (4)
Own-brand domain with matching meta tags
Absence of credential or payment collection
No malicious JavaScript or network activity
Well-established domain (over 30 years old)
Domain age information unavailable

Details

Page Title

Jacob Fields - 2025 - Football - Rose-Hulman Institute of Technology

Scan Type

public

Domain Name Analysis

Domain 'athletics.rose-hulman.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'athletics'. The core label 'rose-hulman' covers 11 characters holding four vowels versus six consonants, along with one hyphen. Tokenizing the label suggests two words: rose, hulman. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://athletics.rose-hulman.edu/sports/football/roster/jacob-fields/16322

Page Load Overview

7.10s
Total Load Time
3.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:4,144 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content72% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
72%
social media network
72%
documentation technical
57%
education
45%
entertainment media
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.32.236.31San Antonio, Texas, United States
AS33070Rackspace Hosting
123.167.226.163Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1218.244.18.42Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
123.174.46.84Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1265.8.131.47Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1218.172.112.3Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
12172.64.147.18Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
12142.251.14.95Google · CDNUnited States
AS15169Google LLC
1265.9.130.96Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
12104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
12910--

Detected Technologies4

JQueryv3.7.1
100%
HSTS
40%
Microsoft ASP.NET
30%
Google Tag Manager
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17CB441489E660A3B019F73A79E74505430339A0399493D09BA8CF7D53FE1B0DA9D6E2F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:D/QBi35lNU5dgdJbPWKEdHxlVblnjdq6KwcRE7d8S6ML3+VdNNBlsA9ldsZ9/Lm1:1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500000:YoKJARQHHwoFwAkrY0lwLWxFBcCCyBguQxAiBAklgATeGmzRAZhjABMRk0YAZGbhQ5ZBEBQQUsAHExMkAj4YAIAWE8aS8FnO

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:00ff8383c7c7ff99
Perceptual Hash:ae0558706f0f3cb6
Difference Hash:a4f023230e0e6933
Wavelet Hash:007e8383c7c7bd99
Color Hash:#2d9ed2

Other Hashes

Crop Resistant:a4f023230e0e6933,3664bcb898d0e0e1,e6e699b4b44190d8,f5e5e9c3a52e97b6,321a1adafab29180

Scan History

Scan history not available

Unable to load historical scan data