Summary
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is lzq-34e.pages.dev and was registered NaN years ago.
Submitted URL: https://lzq-34e.pages.dev/ja/help
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; the site appears legitimate.
Safety Factors
Details
Primary Scan Blocked — Fallback Capture Shown
The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.
Page Title
429 Too Many Requests
Scan Type
public
Language
English
Category
entertainment media
(70%)Domain Information
The domain name 'lzq-34e.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'lzq-34e'. The registrable portion 'pages' spans 5 characters holding 2 vowels versus three consonants. Word splitting yields one word: pages. 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 |
|---|---|---|---|
| 1 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 1 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 2 | 2 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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