Summary
This website contacted 9 IPs in 3 countries across 8 domains to perform 45 HTTP transactions. The main domain is t53njs.zama-mining.vip and was registered NaN years ago.
Submitted URL: https://t53njs.zama-mining.vip/#/register?ref=971514
AI Security Verdict
Confirmed Scam
Confidence: 95%
Confirmed scam collecting passwords on a brand‑new domain; do not submit any credentials.
Risk Factors
Details
Page Title
ZAMA
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain name 't53njs.zama-mining.vip' uses the .vip top-level domain; it also runs on subdomain 't53njs'. Its registrable label 'zama-mining' stretches across 11 characters containing four vowels alongside six consonants, plus one hyphen. Word splitting yields two words: zama, mining. Average segment length settles at 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 |
|---|---|---|---|
| 5 | 188.114.96.3 | United States | AS13335Cloudflare, Inc. |
| 5 | 23.207.210.145 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 146.75.120.157 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 5 | 3.163.248.4 | United States | AS16509Amazon.com, Inc. |
| 5 | 188.114.97.3 | United States | AS13335Cloudflare, Inc. |
| 5 | 149.154.167.99 | London, England, United Kingdom | AS62041Telegram Messenger Inc |
| 5 | 2.20.245.174 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 5 | 23.207.210.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 45 | 9 | - | - |
Detected Technologies6
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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