Summary
This website contacted 14 IPs in 3 countries across 12 domains to perform 54 HTTP transactions. The main domain is americanradioworks.publicradio.org and was registered NaN years ago.
Submitted URL: https://americanradioworks.publicradio.org/features/tomorrows-college/phoenix/story-of-university-of-phoenix.html
The Cisco Umbrella rank of the primary domain is #101,624 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
No security concerns detected; the site appears legitimate.
Safety Factors
Details
Page Title
The Story of the University of Phoenix
Scan Type
public
Language
English
Category
education learning
(34%)Domain Information
The domain 'americanradioworks.publicradio.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'americanradioworks'. The second-level label 'publicradio' is 11 characters long with five vowels and six consonants. Word splitting yields 2 words: public, radio. Average segment length settles at 5.5 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 |
|---|---|---|---|
| 5 | 142.250.184.200 | United States | AS15169GOOGLE |
| 3 | 142.251.140.163 | United States | AS15169GOOGLE |
| 3 | 66.102.1.154 | United Kingdom | |
| 3 | 91.228.74.244 | Unknown | Unknown |
| 3 | 216.239.32.36 | Unknown | Unknown |
| 3 | 91.228.74.166 | United Kingdom | AS16509AMAZON-02 |
| 3 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 18.66.102.54 | United States | AS16509AMAZON-02 |
| 3 | 216.239.34.36 | United States | AS15169GOOGLE |
| 3 | 91.228.74.159 | United Kingdom | AS16509AMAZON-02 |
| 44 | 14 | - | - |
Detected Technologies9
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
Unable to load historical scan data