Security Scan Report: athletics.uchicago.edu

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Submitted: Oct 9, 2025, 8:08:54 PMCompleted: Oct 9, 2025, 8:09:56 PMpubliccompleted
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Summary

This website contacted 66 IPs in 1 country across 16 domains to perform 113 HTTP transactions. The main domain is athletics.uchicago.edu and was registered NaN years ago.

Submitted URL: https://athletics.uchicago.edu/sports/womens-soccer/stats/2025/illinois-tech/boxscore/8262

The Cisco Umbrella rank of the primary domain is #61,999 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate University of Chicago athletics page with no security concerns.

Safety Factors
Official University of Chicago domain
Domain age > 30 years (well-established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Women's Soccer vs Illinois Tech on 10/6/2025 - Box Score - University of Chicago

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(91%)

Domain Information

The domain 'athletics.uchicago.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'athletics'. Its registrable label 'uchicago' stretches across 8 characters holding four vowels versus 4 consonants. Word splitting yields 2 words: u, chicago. Average segment length settles at 4 characters. 'u' is most common in Bosnian usage. You will also see it in Croatian and Serbian contexts. Overall, 'athletics.uchicago.edu' reads as Bosnian.

Screenshot

Security scan screenshot of https://athletics.uchicago.edu/sports/womens-soccer/stats/2025/illinois-tech/boxscore/8262

Page Load Overview

17.32s
Total Load Time
113
HTTP Requests
16
Domains
1.1 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:2,743 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content91% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
91%
documentation technical
78%
social media network
71%
entertainment media
66%
education
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4818.244.18.122United States
AS16509AMAZON-02
1142.250.186.170United States
AS15169GOOGLE
118.172.112.4United States
AS16509AMAZON-02
1174.143.40.29United States
AS33070RMH-14
1142.250.186.104United States
AS15169GOOGLE
1104.17.25.14United States
AS13335CLOUDFLARENET
118.172.112.3United States
AS16509AMAZON-02
118.66.122.68United States
AS16509AMAZON-02
118.66.112.54United StatesUnknown
118.66.122.95United States
AS16509AMAZON-02
11366--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T102B42384EA62163B40EF737F5B7644983133954399482D0A798CBB843FE0B0EDAD5F5A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:r4kNwRd16qXWBJdnV5Wam/diM8PbVFdnv7E2BLdES6f/4sdh1xih10dLNRMEWWds:hNjd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500000:IAJYUApUmA0w8SwiADFgYYYWCAwhYBzAQokBxAIjGAElIoUDABnhYshY2QqI1jZSHNQ0AQgwUEMVsCA0qDEb4MlZbiAqwogI

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:e5a3376f83abc783
Perceptual Hash:b340f2fffb920c20
Difference Hash:0d4ad5dd5b5b094b
Wavelet Hash:e5a700ff81abc781
Color Hash:#78663a

Other Hashes

Crop Resistant:0d4ad5dd5b5b094b

Scan History

Scan history not available

Unable to load historical scan data