Summary
This website contacted 36 IPs in 3 countries across 10 domains to perform 626 HTTP transactions. The main domain is ikhlas-suster123.vip and was registered NaN years ago.
Submitted URL: https://ikhlas-suster123.vip/
AI Security Verdict
Confirmed Scam
Confidence: 96%
New, unranked site collecting credentials – confirmed phishing scam.
Risk Factors
Details
Page Title
SUSTER123 - Link Alternatif Suster 123 Anti Lag Gampang Menang
Scan Type
public
Language
ID
Category
social_media
(50%)Domain Information
You're looking at domain 'ikhlas-suster123.vip' on the .vip top-level domain while skipping any subdomain. The registrable portion 'ikhlas-suster123' spans 16 characters split between 4 vowels and eight consonants; bonus characters include three digits and 1 hyphen. Breaking it apart gives 6 words: i, khl, as, s, uster, 123. Average segment length settles at 2.5 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 |
|---|---|---|---|
| 530 | 45.192.223.63 | Mauritius | AS13335CLOUDFLARENET |
| 39 | 65.8.102.72 | United States | AS16509AMAZON-02 |
| 31 | 23.50.131.153 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 28 | 52.222.232.141 | United States | AS16509AMAZON-02 |
| 17 | 65.8.102.94 | United States | AS16509AMAZON-02 |
| 17 | 2.17.100.219 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 17 | 52.222.232.184 | United States | AS16509AMAZON-02 |
| 17 | 52.222.232.47 | United States | AS16509AMAZON-02 |
| 17 | 65.8.102.99 | United States | AS16509AMAZON-02 |
| 17 | 2.17.100.185 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 626 | 36 | - | - |
Detected Technologies9
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