Summary
This website contacted 24 IPs in 3 countries across 11 domains to perform 105 HTTP transactions. The main domain is bayan-gate.net and was registered NaN years ago.
Submitted URL: https://bayan-gate.net/2025/331847/
AI Security Verdict
Low Risk
Confidence: 80%
Site appears legitimate with no immediate security threats.
Safety Factors
Details
Page Title
زهران ممداني يدلي بصوته وسط إقبال تاريخي في نيويورك – بيان
Scan Type
public
Language
Arabic
Category
news media journalism
(70%)Domain Information
Within the network infrastructure generic top-level domain (.net), 'bayan-gate.net' is registered with no subdomain. Its registrable label 'bayan-gate' stretches across 10 characters with four vowels and five consonants, plus one hyphen. Splitting it apart reveals two words: bayan, gate. Median word length comes out to 4.5 characters. The linguistic tilt is Turkish for 'bayan'. Usage also turns up in Tagalog and Dutch contexts.
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 |
|---|---|---|---|
| 13 | 142.250.186.106 | United States | AS15169GOOGLE |
| 4 | 104.21.28.204 | United States | AS13335CLOUDFLARENET |
| 4 | 160.153.0.104 | United States | AS209242Cloudflare London, LLC |
| 4 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 172.67.147.145 | United States | AS13335CLOUDFLARENET |
| 4 | 142.250.185.138 | United States | AS15169GOOGLE |
| 4 | 13.42.199.202 | London, England, United Kingdom | AS16509AMAZON-02 |
| 4 | 216.58.206.34 | United States | AS15169GOOGLE |
| 4 | 104.102.33.89 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 4 | 216.58.206.66 | United States | AS15169GOOGLE |
| 105 | 24 | - | - |
Detected Technologies15
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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