Summary
This website contacted 10 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is cafespot.net and was registered NaN years ago.
Submitted URL: http://cafespot.net/
AI Security Verdict
High Risk
Confidence: 80%
New, unranked site with circular redirect – flagged as high risk.
Risk Factors
Details
Page Title
NameBright - Coming Soon
Scan Type
public
Language
English
Category
e-commerce shopping
(38%)Domain Information
Domain 'cafespot.net' uses the network infrastructure generic top-level domain (.net) and has no subdomain. Count 8 characters in 'cafespot' containing three vowels alongside 5 consonants. Splitting it apart reveals 2 words: cafe, spot. Average segment length settles at 4 characters. The linguistic tilt is English for 'cafe'. Usage also turns up in Chinese (Pinyin) and Afrikaans contexts.
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 | 52.44.244.98 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 0 | 54.165.131.183 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 0 | 172.67.73.194 | United States | AS13335CLOUDFLARENET |
| 0 | 2606:4700:20::681a:a4d | United States | AS13335CLOUDFLARENET |
| 0 | 104.26.10.77 | United States | AS13335CLOUDFLARENET |
| 0 | 2606:4700:20::681a:b4d | United States | AS13335CLOUDFLARENET |
| 0 | 104.26.11.77 | United States | AS13335CLOUDFLARENET |
| 0 | 2606:4700:20::ac43:49c2 | United States | AS13335CLOUDFLARENET |
| 0 | 2600:1f18:4ae:c608:83f8:2f9c:4a61:7b6a | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 0 | 2600:1f18:4ae:c607:d1d9:565f:b122:bfdb | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 10 | - | - |
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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