Summary
This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is kevinsport.monster and was registered NaN years ago.
Submitted URL: https://kevinsport.monster/fb_1
Effective URL: https://kevinsport.monster/404.phpRedirected
AI Security Verdict
Safe Website
Confidence: 99%
AI analysis skipped: Error page title: 'Error 404!' with no meaningful content to analyze.
Safety Factors
Details
Website Access Blocked
This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.
Page Title
Attention Required! | Cloudflare
Scan Type
public
Language
English
Category
healthcare medical
(42%)Domain Information
Domain 'kevinsport.monster' uses the .monster top-level domain. The registrable portion 'kevinsport' spans 10 characters split between 3 vowels and 7 consonants. It segments into 2 words: kevin, sport. Expect five characters per word on average. 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 |
|---|---|---|---|
| 4 | 104.21.64.139 | United States | AS13335Cloudflare, Inc. |
| 4 | 1 | - | - |
Detected Technologies3
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