Summary
This website contacted 89 IPs in 4 countries across 27 domains to perform 70 HTTP transactions. The main domain is wmich.edu and was registered NaN years ago.
Submitted URL: https://wmich.edu/events/73223
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate university event page with no security concerns.
Safety Factors
Details
Page Title
WMU Football vs. CMU | Athletics | Western Michigan University
Scan Type
public
Language
English
Category
social media network
(92%)Domain Information
You're looking at domain 'wmich.edu' on the sponsored educational top-level domain (.edu) without a subdomain. The second-level label 'wmich' is 5 characters long holding 1 vowel versus 4 consonants. Word splitting yields 2 words: w, mich. Expect 2.5 characters per word on average. 'w' most strongly signals Polish. Secondary signals appear in German and Chinese (Zhuyin).
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 70 | 142.250.185.196 | United States | AS15169GOOGLE |
| 0 | 95.101.27.113 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 18.245.46.118 | United States | AS16509AMAZON-02 |
| 0 | 98.83.252.235 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 0 | 34.237.248.169 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 0 | 63.35.39.43 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 0 | 142.250.186.66 | United States | AS15169GOOGLE |
| 0 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 70 | 89 | - | - |
Detected Technologies17
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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