Summary
This website contacted 11 IPs in 5 countries across 6 domains to perform 26 HTTP transactions. The main domain is qgxeqm.hotllove.net and was registered NaN years ago.
Submitted URL: http://iluvhotpot.com/7byO
Effective URL: https://qgxeqm.hotllove.net/?utm_source=da57dc555e50572d&ban=other&j1=1&s1=190867&s2=2186237&s3=yes161inRedirected
AI Security Verdict
Confirmed Scam
Confidence: 95%
New unranked site impersonating Tinder; high‑risk phishing scam.
Risk Factors
Details
Page Title
ThreesomeTinder
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain 'iluvhotpot.com' uses the commercial generic top-level domain (.com) and has no subdomain. Count 10 characters in 'iluvhotpot' with 4 vowels and 6 consonants. Breaking it apart gives four words: i, luv, hot, pot. Median word length comes out to three 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 |
|---|---|---|---|
| 15 | 2.19.126.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 38.180.222.2 | Amsterdam, North Holland, Netherlands | AS58061Scalaxy B.V. |
| 2 | 88.212.202.52 | Russia | AS39134Edinaya Set Limited Liability Company |
| 2 | 142.250.184.195 | United States | AS15169GOOGLE |
| 2 | 2.19.126.158 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 2a00:1450:400a:1009::5f | Zurich, Zurich, Switzerland | AS15169GOOGLE |
| 2 | 2a00:1450:4001:830::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 2 | 88.212.201.204 | Russia | AS39134Edinaya Set Limited Liability Company |
| 1 | 185.7.99.190 | Netherlands | AS42567Mojohost B.v. |
| 1 | 172.217.208.95 | United States | AS15169GOOGLE |
| 26 | 11 | - | - |
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
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