Summary
This website contacted 43 IPs in 2 countries across 10 domains to perform 184 HTTP transactions. The main domain is uwhealth.org and was registered NaN years ago.
Submitted URL: https://www.uwhealth.org/
The Cisco Umbrella rank of the primary domain is #113,011 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
University of Wisconsin Hospitals and Clinics | UW Health
Scan Type
public
Language
English
Category
healthcare medical
(70%)Domain Information
The domain name 'www.uwhealth.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. The second-level label 'uwhealth' is 8 characters long with 3 vowels and five consonants. It segments into two words: uw, health. Expect 4 characters per word on average. 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 |
|---|---|---|---|
| 130 | 3.33.186.135 | United States | AS16509AMAZON-02 |
| 25 | 104.16.78.6 | United States | AS13335CLOUDFLARENET |
| 16 | 13.33.187.16 | New York, New York, United States | AS16509AMAZON-02 |
| 8 | 3.120.23.227 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 4 | 104.16.79.6 | United States | AS13335CLOUDFLARENET |
| 4 | 15.197.167.90 | United States | AS16509AMAZON-02 |
| 4 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 35.156.212.234 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 4 | 2.19.126.219 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 18.172.112.102 | United States | AS16509AMAZON-02 |
| 184 | 43 | - | - |
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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