Summary
This website contacted 119 IPs in 4 countries across 28 domains to perform 183 HTTP transactions. The main domain is abc.com and was registered NaN years ago.
Submitted URL: https://abc.go.com/shows/good-morning-america
Effective URL: https://abc.com/show/f17f433e-bd1f-4686-9994-9d3aea9f8c2dRedirected
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate ABC Good Morning America page with no security concerns.
Safety Factors
Details
Page Title
Watch Good Morning America TV Show - ABC.com
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
Domain 'abc.go.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'abc'. The core label 'go' covers 2 characters split between one vowel and one consonant. Segmentation suggests 1 word: go. Most frequently, 'go' shows up in Polish. Secondary signals appear in Chinese (Pinyin) and English.
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 |
|---|---|---|---|
| 65 | 104.102.59.108 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 13.32.121.34 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 162.247.243.39 | United States | AS54113FASTLY |
| 1 | 104.102.45.202 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 104.102.13.110 | Hamburg, Hamburg, Germany | AS16625AKAMAI-AS |
| 1 | 3.233.130.202 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 3.87.148.7 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 13.226.244.53 | United States | AS16509AMAZON-02 |
| 1 | 63.140.62.236 | United States | AS16509AMAZON-02 |
| 1 | 142.250.185.99 | United States | AS15169GOOGLE |
| 183 | 119 | - | - |
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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