Summary
API
Submitted URL: https://ilovesi.top
AI Security Verdict
Low Risk
Confidence: 68%
Ad-funnel landing page for the Where Winds Meet game reached via an opaque .top redirect chain. No forms, no credential or payment capture, no malware patterns; only generic reputation tags. Low risk, but no direct navigation needed.
Risk Factors (3)
Safety Factors (5)
Details
Page Title
Rally at Zhongdu Bridge on November 13!
Scan Type
public
Domain Name Analysis
Domain 'ilovesi.top' uses the .top top-level domain. Its registrable label 'ilovesi' stretches across 7 characters holding 4 vowels versus 3 consonants. Tokenizing the label suggests three words: i, loves, i. Median word length is 1 character. 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 |
|---|---|---|---|
| 44 | 46.8.8.222 | Prague, Prague, Czech Republic | AS60592Gransy s.r.o. |
| 3 | 173.239.53.32 | Garden City, New York, United States | AS27257Webair Internet Development Company Inc. |
| 3 | 13.33.187.47Cloudfront · CDN | New York, New York, United States | AS16509Amazon.com, Inc. |
| 3 | 3.171.214.58Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 3 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 34.22.226.105Google · CDN | Brussels, Brussels Capital, Belgium | AS396982Google LLC |
| 3 | 2.16.168.53Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2.19.198.170Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 3 | 18.64.225.81Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 173 | 44 | - | - |
Detected Technologies10
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