Security Scan Report: yellowjackets.cedarville.edu

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Submitted: Oct 9, 2025, 7:23:28 PMCompleted: Oct 9, 2025, 7:25:28 PMpubliccompleted
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Summary

This website contacted 126 IPs in 2 countries across 27 domains to perform 120 HTTP transactions. The main domain is yellowjackets.cedarville.edu and was registered NaN years ago.

Submitted URL: https://yellowjackets.cedarville.edu/news/2025/10/6/womens-cross-country-walsh-is-nccaa-athlete-of-the-week-for-second-time.aspx

The Cisco Umbrella rank of the primary domain is #496,740 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university news page with no security concerns.

Safety Factors
Established university domain (cedarville.edu)
No suspicious forms or data collection
Content matches official Cedarville University Athletics branding
Domain age information unavailable

Details

Page Title

Walsh is NCCAA Athlete of the Week for second time - Cedarville University Athletics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(71%)

Domain Information

You're looking at domain 'yellowjackets.cedarville.edu' on the sponsored educational top-level domain (.edu) with subdomain 'yellowjackets'. The registrable portion 'cedarville' spans 10 characters holding 4 vowels versus 6 consonants. Tokenizing the label suggests 2 words: cedar, ville. Median word length is five characters. 'cedar' is most common in Danish usage. Secondary signals appear in Norwegian and Swedish. Net impression: Danish phrase.

Screenshot

Security scan screenshot of https://yellowjackets.cedarville.edu/news/2025/10/6/womens-cross-country-walsh-is-nccaa-athlete-of-the-week-for-second-time.aspx

Page Load Overview

64.14s
Total Load Time
120
HTTP Requests
27
Domains
4.5 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:4,439 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network71% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
71%
adult content
60%
education
45%
documentation technical
40%
entertainment media
29%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
120172.217.23.118United States
AS15169GOOGLE
018.66.112.19United States
AS20940Akamai International B.V.
018.172.112.4United States
AS16509AMAZON-02
054.192.87.10United States
AS16509AMAZON-02
0174.143.40.29United States
AS33070RMH-14
013.32.27.51New York, New York, United States
AS16509AMAZON-02
0142.250.185.142United States
AS15169GOOGLE
0142.250.185.150United States
AS15169GOOGLE
054.192.87.20United States
AS16509AMAZON-02
0142.250.186.72United States
AS15169GOOGLE
120126--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CEA46384E962153B40EF777F6B7A40A831739543A9083C1A798CB7843FE0B0D9AD5F5A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/I7bhPhv7Yybdl4sGr0QtJdCEQ6pFlvadJfXN0pv1CdHwccnKpiqdZcY64/Ditdn:w7bhPh0BRg0j9+iyh3h5YsXh5Jx5W7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:485716:EkIYIAMDkiMUgUAA8CnhCASJtHjiaAKQI0i4xsQMAEILhAI+EPohShUjGoCAZvIEyAWAMiEDECCUcsAGBqSFGAABAQBRwhwA

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:003e26067e7e7e7e
Perceptual Hash:943ecb68683b3785
Difference Hash:93ececacb6f6dad2
Wavelet Hash:007e06067e1e7e7e
Color Hash:#53ac8d

Scan History

Scan history not available

Unable to load historical scan data