Summary
This website contacted 29 IPs in 1 country across 7 domains to perform 178 HTTP transactions. The main domain is babcockhoops.com and was registered NaN years ago.
Submitted URL: https://www.babcockhoops.com/post/isaiah-stewart-on-family-college-and-proving-himself-in-the-nba
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security concerns and appears legitimate.
Safety Factors
Details
Page Title
Isaiah Stewart on Family, College, and Proving Himself in the NBA
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
You're looking at domain 'www.babcockhoops.com' on the commercial generic top-level domain (.com), featuring subdomain 'www'. The registrable portion 'babcockhoops' spans 12 characters with four vowels and 8 consonants. Word splitting yields 2 words: babcock, hoops. Average segment length settles at 6 characters. 'babcock' most often appears in English. You may catch it in Dutch and French as well.
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 |
|---|---|---|---|
| 10 | 65.8.131.125 | United States | AS16509AMAZON-02 |
| 6 | 65.8.131.77 | United States | AS16509AMAZON-02 |
| 6 | 151.101.130.217 | San Francisco, California, United States | AS54113FASTLY |
| 6 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 44.206.60.214 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 6 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 65.8.131.55 | United States | AS16509AMAZON-02 |
| 6 | 151.101.194.217 | San Francisco, California, United States | AS54113FASTLY |
| 6 | 65.8.131.76 | United States | AS16509AMAZON-02 |
| 178 | 29 | - | - |
Detected Technologies7
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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