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Security Scan Report: athletics.aurora.edu

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Submitted: Nov 26, 2025, 9:21:19 PMCompleted: Nov 26, 2025, 9:25:03 PMpubliccompleted
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Summary

This website contacted 150 IPs in 4 countries across 47 domains to perform 251 HTTP transactions. The main domain is athletics.aurora.edu and was registered NaN years ago.

Submitted URL: https://athletics.aurora.edu/sports/mens-track-and-field/roster/cormac-dietz/13284

The Cisco Umbrella rank of the primary domain is #424,991 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and is legitimate.

Safety Factors
Established domain with long registration history
No malicious Indicators of Compromise detected
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Cormac Dietz - Men's Track and Field - Aurora University Athletics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(93%)

Domain Information

Domain 'athletics.aurora.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'athletics'. The core label 'aurora' covers 6 characters with four vowels and two consonants. Splitting it apart reveals one word: aurora. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://athletics.aurora.edu/sports/mens-track-and-field/roster/cormac-dietz/13284

Page Load Overview

2.43s
Total Load Time
251
HTTP Requests
47
Domains
2.3 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:6,404 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network93% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
93%
entertainment media
90%
adult content
78%
cryptocurrency blockchain
68%
news media journalism
67%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
102141.95.33.120Germany
AS16276OVH SAS
6765.8.131.95United States
AS16509AMAZON-02
1374.205.81.133United States
AS33070RMH-14
12104.17.25.14United States
AS13335CLOUDFLARENET
654.192.87.149United States
AS16509AMAZON-02
6172.217.23.99United States
AS15169GOOGLE
5172.217.18.14United States
AS15169GOOGLE
5104.18.40.238United States
AS13335CLOUDFLARENET
5142.250.185.104United States
AS15169GOOGLE
5216.239.34.36United States
AS15169GOOGLE
251150--

Detected Technologies2

JQueryv3.7.1
100%
Google-AnalyticsvUniversal
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118F4722455A12E3A159F21E289927D45A2BE0507C5890E38FEEC9F5C3FF2B76D323D06

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Cvq+2dD3M26hT+eqEKemQ3lZvecUdeHMre1L331DecnoetT+eqEKemQ3UZveYUd7:CvqT6lV5aiXJ8URV5H+c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:783288:kAJbGARNEYFCABFIBSFAGCBlGGASsyJMoYFSIwaFFRjhAjAuBCewPBhjBjF6iAAcQWAe9EmTgQAF9jAgkmICnQKgkIpDgBBt

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:00ffffffff6f7f60
Perceptual Hash:927f402e7b287fc0
Difference Hash:0d60401b2c8f9ccc
Wavelet Hash:0030ffff8f071f00
Color Hash:#e06c9e

Other Hashes

Crop Resistant:0d60401b2c8f9ccc,0101010101210181,226cc9ce846825d0,d1d029c8682989c9

Scan History

Scan history not available

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