Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is ketaminewellnes.com and was registered NaN years ago.
Submitted URL: https://ketaminewellnes.com/ketamine-liquid/
AI Security Verdict
High Risk
Confidence: 92%
High risk site selling ketamine illegally and harvesting credentials; do not use.
Risk Factors
Details
Page Title
Ketamine Liquid – Ketamine Wellnes
Scan Type
public
Language
English
Category
corporate
(35%)Domain Information
Within the commercial generic top-level domain (.com), 'ketaminewellnes.com' is registered without a subdomain. Its registrable label 'ketaminewellnes' stretches across 15 characters split between six vowels and nine consonants. It segments into 3 words: ketamine, well, nes. Average segment length settles at 4 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 |
|---|---|---|---|
| 32 | 192.0.76.3 | San Francisco, California, United States | AS2635Automattic, Inc |
| 30 | 162.159.137.9 | United States | AS13335Cloudflare, Inc. |
| 30 | 104.16.80.73 | United States | AS13335Cloudflare, Inc. |
| 92 | 3 | - | - |
Detected Technologies15
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