Summary
API
This website contacted 3 IPs in 1 country across 1 domain to perform 13 HTTP transactions. The main domain is lalavision.com and was registered 9 years ago.
Submitted URL: https://lalavision.com
AI Security Verdict
Safe Website
Confidence: 85%
Legitimate 9-year-old Chinese academic journal (Landscape Architecture) with peer-reviewed articles and DOIs. No forms, no Indicators of Compromise, no impersonation.
Safety Factors (5)
Details
Page Title
风景园林
Scan Type
public
Domain Name Analysis
The domain name 'lalavision.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'lalavision' covers 10 characters containing five vowels alongside 5 consonants. Splitting it apart reveals 2 words: lala, vision. Median word length is 5 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 |
|---|---|---|---|
| 5 | 39.106.0.64 | Beijing, Beijing, China | AS37963Hangzhou Alibaba Advertising Co.,Ltd. |
| 4 | 183.240.98.228 | China | AS56040China Mobile communications corporation |
| 4 | 123.56.42.125 | Beijing, Beijing, China | AS37963Hangzhou Alibaba Advertising Co.,Ltd. |
| 0 | 3 | - | - |
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