Summary
This website contacted 3 IPs in 3 countries across 3 domains to perform 69 HTTP transactions. The main domain is zhongshihuavip.top and was registered NaN years ago.
Submitted URL: https://zshsvip.com/
Effective URL: https://www.zhongshihuavip.top/h5/index.html#/pages/index/indexRedirected
AI Security Verdict
Confirmed Scam
Confidence: 92%
Site hosts a known malicious IP and is a brand‑new, unranked domain; treat as confirmed scam.
Risk Factors
Details
Page Title
首页
Scan Type
public
Language
Chinese
Category
news media journalism
(38%)Domain Information
Domain 'zshsvip.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'zshsvip' stretches across 7 characters with 1 vowel and six consonants. Tokenizing the label suggests three words: zsh, s, vip. Median word length is three 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 |
|---|---|---|---|
| 26 | 118.25.42.241 | China | |
| 25 | 202.79.168.59 | Singapore | AS152194CTG Server Limited |
| 25 | 67.211.71.55 | Hong Kong | AS59371Dimension Network & Communication Limited |
| 76 | 3 | - | - |
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