Summary
This website contacted 17 IPs in 4 countries across 18 domains to perform 62 HTTP transactions. The main domain is etailment.de.
Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/7nVU1aA2nfsaHtTVzpVCXoEyOZhjNjC/Vj8LndBIC-pi
Effective URL: https://etailment.de/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
E-Commerce News | etailment von Der Handel
Scan Type
public
Language
German
Category
e-commerce shopping
(91%)Domain Information
The domain 'r.brevo.etailment.de' uses the German country-code top-level domain (.de), featuring subdomain 'r.brevo'. The registrable portion 'etailment' spans 9 characters split between 4 vowels and five consonants. Word splitting yields 2 words: et, ailment. Average segment length settles at 4.5 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 |
|---|---|---|---|
| 17 | 20.105.232.42 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 3 | 35.241.3.184 | Kansas City, Missouri, United States | AS396982Google LLC |
| 3 | 217.79.188.59 | United States | |
| 3 | 217.79.188.9 | Germany | AS24961WIIT AG |
| 3 | 91.215.100.74 | Unknown | |
| 3 | 35.201.111.240 | Kansas City, Missouri, United States | AS396982Google LLC |
| 3 | 104.18.22.151 | United States | AS13335Cloudflare, Inc. |
| 3 | 34.149.254.14 | Kansas City, Missouri, United States | AS396982Google LLC |
| 3 | 35.190.14.188 | United States | AS396982Google LLC |
| 3 | 20.105.224.33 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 65 | 17 | - | - |
Detected Technologies5
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
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