Security Scan Report: beta.goodmorningamerica.com

Redirected to: https://beta.goodmorningamerica.com/family/story/michael-douglas-kids-111877007

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Submitted: Oct 24, 2025, 2:34:33 PMCompleted: Oct 24, 2025, 2:36:41 PMpubliccompleted
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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%

0
Risk Score

The page is a legitimate Good Morning America article with no security concerns.

Safety Factors
Established domain age
Official brand subdomain (beta.goodmorningamerica.com)
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

What to know about Michael Douglas and his 3 kids - Good Morning America

Scan Type

public

Language

🇺🇸

English

(80% confidence)

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

Security scan screenshot of https://beta.goodmorningamerica.com/family/story/what-to-know-about-michael-douglas-and-his-3-kids-111877007

Page Load Overview

63.11s
Total Load Time
176
HTTP Requests
41
Domains
3.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:6,915 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog100% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
100%
corporate
70%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
176142.251.140.164United States
AS15169GOOGLE
0157.240.0.63Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
013.32.121.39New York, New York, United States
AS16509AMAZON-02
063.140.62.172United States
AS16509AMAZON-02
013.33.187.64New York, New York, United States
AS16509AMAZON-02
0184.24.77.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0146.75.121.74Frankfurt am Main, Hesse, Germany
AS54113FASTLY
018.244.18.27United States
AS16509AMAZON-02
0142.250.185.98United States
AS15169GOOGLE
013.32.121.34New York, New York, United States
AS16509AMAZON-02
176178--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13094D7FB57B080A0784F19A9EF372DDD660AA0BFDED28584723CDD0597C3ED9A216904

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:kxgSWNF/imr+lJ2/Jn5reTLQ9VkQxmqV2yAHeT6Mw/1pk4:NjrYawyHJs7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:410765:EGAJeDQgQhFIITCgQiHBAILCKiIAD6RkEJSAABfAGLAiY7UMAMCNBAgRMAQRD58QSTQ0kgYAgAiAGkBIQIDi8kBzxFTIqgkN

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

Average Hash:ffffffc3c3c3c3c3
Perceptual Hash:bcc3932c2d33cf30
Difference Hash:6d2a4d9696969696
Wavelet Hash:85ffc1c1010101c3
Color Hash:#5391ac

Scan History

Scan history not available

Unable to load historical scan data