Summary
This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is qgxeqm.hotllove.net and was registered NaN years ago.
Submitted URL: http://novoe-telo.org/lips/53173
Effective URL: https://qgxeqm.hotllove.net/?utm_source=da57dc555e50572d&ban=other&j1=1&s1=190867&s2=2209474&s3=yps261ON288Redirected
AI Security Verdict
Moderate Risk
Confidence: 78%
The site appears to be an adult‑content page with no malicious forms or malware, but unranked status, redirects, and obfuscation alerts warrant moderate caution.
Risk Factors
Safety Factors
Details
Page Title
New Tab
Scan Type
public
Language
English
Category
adult content
(41%)Domain Information
Domain 'novoe-telo.org' uses the non-profit oriented generic top-level domain (.org) without a subdomain. The second-level label 'novoe-telo' is 10 characters long with 5 vowels and four consonants, plus 1 hyphen. It segments into four words: novo, e, t, elo. Average segment length settles at 2 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 |
|---|---|---|---|
| 31 | 37.1.220.158 | Meppel, Drenthe, Netherlands | AS58061Scalaxy B.V. |
| 31 | 1 | - | - |
Detected Technologies1
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