Summary
This website contacted 178 IPs in 6 countries across 41 domains to perform 176 HTTP transactions. The main domain is beta.goodmorningamerica.com and was registered NaN years ago.
Submitted URL: https://beta.goodmorningamerica.com/family/story/what-to-know-about-michael-douglas-and-his-3-kids-111877007
Effective URL: https://beta.goodmorningamerica.com/family/story/michael-douglas-kids-111877007Redirected
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate Good Morning America article with no security concerns.
Safety Factors
Details
Page Title
What to know about Michael Douglas and his 3 kids - Good Morning America
Scan Type
public
Language
English
Category
news/blog
(100%)Domain Information
Domain 'beta.goodmorningamerica.com' uses the commercial generic top-level domain (.com), featuring subdomain 'beta'. Count 18 characters in 'goodmorningamerica' containing 8 vowels alongside 10 consonants. Tokenizing the label suggests 3 words: good, morning, america. Average segment length settles at 7 characters. The linguistic tilt is Chinese (Pinyin) for 'good'. Secondary signals appear in English and Tagalog.
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 |
|---|---|---|---|
| 176 | 142.251.140.164 | United States | AS15169GOOGLE |
| 0 | 157.240.0.63 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 0 | 13.32.121.39 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 63.140.62.172 | United States | AS16509AMAZON-02 |
| 0 | 13.33.187.64 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 184.24.77.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 146.75.121.74 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 0 | 18.244.18.27 | United States | AS16509AMAZON-02 |
| 0 | 142.250.185.98 | United States | AS15169GOOGLE |
| 0 | 13.32.121.34 | New York, New York, United States | AS16509AMAZON-02 |
| 176 | 178 | - | - |
Detected Technologies13
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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