Summary
This website contacted 34 IPs in 2 countries across 8 domains to perform 557 HTTP transactions. The main domain is apkkerassuster.xyz and was registered NaN years ago.
Submitted URL: https://apkkerassuster.xyz/desktop/game/slot/jili
AI Security Verdict
Confirmed Scam
Confidence: 96%
New, unranked site with hidden and disguised password fields – confirmed phishing scam.
Risk Factors
Details
Page Title
SUSTER123 # Zona Bermain Game Online Daring Gacor Terbaru & Terbaik
Scan Type
public
Language
ID
Category
gambling betting
(93%)Domain Information
Within the open generic top-level domain (.xyz), 'apkkerassuster.xyz' is registered with no subdomain. The registrable portion 'apkkerassuster' spans 14 characters containing five vowels alongside nine consonants. Segmentation suggests five words: a, pkk, eras, s, uster. Average segment length settles at 3 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 |
|---|---|---|---|
| 29 | 65.8.102.72 | United States | AS16509AMAZON-02 |
| 16 | 23.36.163.121 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 16 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 16 | 52.222.232.141 | United States | AS16509AMAZON-02 |
| 16 | 52.222.232.184 | United States | AS16509AMAZON-02 |
| 16 | 52.222.232.47 | United States | AS16509AMAZON-02 |
| 16 | 23.53.42.107 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 16 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 16 | 65.8.102.45 | United States | AS16509AMAZON-02 |
| 16 | 23.53.42.194 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 557 | 34 | - | - |
Detected Technologies10
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
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