Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is hllj.okj2nc.mqgu23k.com and was registered NaN years ago.
Submitted URL: https://351628.com/
Effective URL: https://hllj.okj2nc.mqgu23k.com:3443/tianyu/#/pages/index/homeRedirected
AI Security Verdict
High Risk
Confidence: 78%
The site is a newly registered, unranked domain with heavily obfuscated JavaScript and a suspicious redirect, indicating high risk of malicious activity.
Risk Factors
Details
Page Title
N/A
Scan Type
public
Language
Chinese
Category
news media journalism
(35%)Domain Information
The domain '351628.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion '351628' spans 6 characters split between zero vowels and zero consonants, plus 6 digits. It segments into 1 word: 351628. Median word length is six 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 |
|---|---|---|---|
| 30 | 34.96.153.175 | Hong Kong, Hong Kong | AS396982Google LLC |
| 29 | 103.30.201.173 | China | AS133115HK Kwaifong Group Limited |
| 59 | 2 | - | - |
Detected Technologies3
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