Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is ww1.b4by.net and was registered NaN years ago.
Submitted URL: https://b4by.net
Effective URL: https://ww1.b4by.net/?usid=104&utid=20588c94b05c68c85c7117c171bfdf26Redirected
AI Security Verdict
High Risk
Confidence: 92%
Critical malware‑related activity detected; treat the site as high risk and do not interact.
Risk Factors
Details
Page Title
Redirecting...
Scan Type
public
Language
English
Category
news media journalism
(54%)Domain Information
The domain name 'b4by.net' uses the network infrastructure generic top-level domain (.net) and has no subdomain. Its registrable label 'b4by' stretches across 4 characters containing 0 vowels alongside 3 consonants, plus one digit. Splitting it apart reveals three words: b, 4, by. Median word length comes out to one character. 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 |
|---|---|---|---|
| 2 | 172.237.146.38 | Chicago, Illinois, United States | AS63949Akamai Connected Cloud |
| 1 | 172.234.216.100 | Chicago, Illinois, United States | AS63949Akamai Connected Cloud |
| 3 | 2 | - | - |
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