Summary
This website contacted 18 IPs in 4 countries across 19 domains to perform 69 HTTP transactions. The main domain is etailment.de.
Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/7nVU1aA2nfuTHPyoyOjeaAYmYwCW7fi/Lun0RHAjh9KL
Effective URL: https://etailment.de/Redirected
AI Security Verdict
Safe Website
Confidence: 88%
Legitimate news article site with no phishing or malware indicators.
Safety Factors
Details
Page Title
E-Commerce News | etailment von Der Handel
Scan Type
public
Language
German
Category
e-commerce shopping
(78%)Domain Information
The domain name 'r.brevo.etailment.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'r.brevo'. Its registrable label 'etailment' stretches across 9 characters holding four vowels versus five consonants. Segmentation suggests 2 words: et, ailment. The median word length lands 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 |
|---|---|---|---|
| 21 | 35.190.14.188 | United States | AS396982Google LLC |
| 4 | 20.105.232.42 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 4 | 35.201.111.240 | Kansas City, Missouri, United States | AS396982Google LLC |
| 4 | 136.110.231.186 | Kansas City, Missouri, United States | AS396982Google LLC |
| 4 | 157.240.0.6 | Unknown | |
| 4 | 34.149.254.14 | Kansas City, Missouri, United States | AS396982Google LLC |
| 4 | 20.105.224.33 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 4 | 20.79.214.157 | Frankfurt am Main, Hesse, Germany | AS8075Microsoft Corporation |
| 4 | 141.101.90.106 | Unknown | Unknown |
| 4 | 1.179.112.197 | France | AS396982Google LLC |
| 89 | 18 | - | - |
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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