Summary
This website contacted 94 IPs in 4 countries across 34 domains to perform 101 HTTP transactions. The main domain is chancellor.uark.edu and was registered NaN years ago.
Submitted URL: https://chancellor.uark.edu/about/chancellors-office-administration-and-staff/uid/hryurach/name/Hunter+R.+Yurachek/
The Cisco Umbrella rank of the primary domain is #88,393 of the top 1 million websites
AI Security Verdict
Details
Page Title
Hunter R. Yurachek | Administration and Staff | Office of the Chancellor | University of Arkansas
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Domain 'chancellor.uark.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'chancellor'. Count 4 characters in 'uark' split between 2 vowels and two consonants. Segmentation suggests 2 words: u, ark. The median word length lands at two 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 |
|---|---|---|---|
| 24 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 8 | 13.107.246.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 7 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 216.58.206.40 | United States | AS15169GOOGLE |
| 6 | 142.250.185.195 | United States | AS15169GOOGLE |
| 5 | 35.190.43.134 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 142.250.74.198 | United States | AS15169GOOGLE |
| 3 | 3.230.70.123 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 104.18.0.22 | United States | AS13335CLOUDFLARENET |
| 101 | 94 | - | - |
Detected Technologies5
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
Scan history not available
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