Summary
This website contacted 79 IPs in 3 countries across 30 domains to perform 120 HTTP transactions. The main domain is cmich.edu and was registered NaN years ago.
Submitted URL: https://www.cmich.edu/
The Cisco Umbrella rank of the primary domain is #204,461 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate and poses no security risk.
Safety Factors
Details
Page Title
CMU Chippewas | Mount Pleasant, MI
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Domain 'www.cmich.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www'. Its registrable label 'cmich' stretches across 5 characters split between 1 vowel and 4 consonants. Tokenizing the label suggests two words: c, mich. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 41 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 9 | 23.36.162.7 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 142.250.186.100 | United States | AS15169GOOGLE |
| 5 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 5 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 142.251.140.168 | United States | AS15169GOOGLE |
| 3 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 142.250.184.206 | United States | AS15169GOOGLE |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 120 | 79 | - | - |
Detected Technologies11
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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