Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 7 HTTP transactions. The main domain is gbcity.online and was registered NaN years ago.
Submitted URL: http://gbcity.online/
Effective URL: https://gbcity.online/Redirected
AI Security Verdict
Safe Website
Confidence: 99%
AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.
Safety Factors
Details
Bot Protection Detected
This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.
Page Title
Just a moment...
Scan Type
public
Language
English
Category
technology software
(75%)Domain Information
The domain 'gbcity.online' uses the modern generic top-level domain (.online). Its registrable label 'gbcity' stretches across 6 characters with 1 vowel and 5 consonants. Splitting it apart reveals 2 words: gb, city. Median word length comes out to 3 characters. 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 |
|---|---|---|---|
| 7 | 172.67.196.24 | United States | AS13335Cloudflare, Inc. |
| 7 | 104.18.94.41 | United States | AS13335Cloudflare, Inc. |
| 14 | 2 | - | - |
Detected Technologies4
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