Summary
API
Submitted URL: https://kualumni.org/stories/sonia-sotomayor-ku/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate University of Kansas Alumni news article about a Sonia Sotomayor campus event. Established 28-year-old domain, self-branded, no forms, no threat-intel, YARA or IDS hits.
Safety Factors (4)
Details
Page Title
On KU visit, Sonia Sotomayor discusses her trailblazing career - Crimson & Blue - KU Alumni
Scan Type
public
Domain Name Analysis
Within the non-profit oriented generic top-level domain (.org), 'kualumni.org' is registered and has no subdomain. The second-level label 'kualumni' is 8 characters long split between four vowels and four consonants. Splitting it apart reveals 2 words: ku, alumni. Median word length comes out to four 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 |
|---|---|---|---|
| 10 | 141.193.213.10Cloudflare · CDN | United States | AS209242Cloudflare London, LLC |
| 3 | 184.24.77.190Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 142.251.14.97Google · CDN | United States | AS15169Google LLC |
| 3 | 142.251.127.156Google · CDN | United States | AS15169Google LLC |
| 3 | 184.24.77.169Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 216.239.34.36Google · CDN | United States | AS15169Google LLC |
| 3 | 142.250.154.132Google · CDN | United States | AS15169Google LLC |
| 3 | 142.251.127.155Google · CDN | United States | AS15169Google LLC |
| 3 | 142.251.14.157Google · CDN | United States | AS15169Google LLC |
| 3 | 142.251.14.132Google · CDN | United States | AS15169Google LLC |
| 79 | 24 | - | - |
Detected Technologies22
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Unable to load historical scan data