Summary
This website contacted 18 IPs in 4 countries across 19 domains to perform 50 HTTP transactions. The main domain is etailment.de.
Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/7nVU1aA2nfyEo8HEV8qSjiwL4HN6rqg/ZBtwA8EGNycp
Effective URL: https://etailment.de/newsletter/subscribe/Redirected
AI Security Verdict
Moderate Risk
Confidence: 78%
Content appears legitimate, but unknown domain age and heavy JS obfuscation warrant caution.
Risk Factors
Safety Factors
Details
Page Title
E-Commerce Newsletter | Digital Commerce Magazin etailment
Scan Type
public
Language
German
Category
technology software
(100%)Domain Information
Within the German country-code top-level domain (.de), 'r.brevo.etailment.de' is registered; it also runs on subdomain 'r.brevo'. The core label 'etailment' covers 9 characters split between 4 vowels and 5 consonants. Tokenizing the label 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 |
|---|---|---|---|
| 19 | 141.101.90.105 | United States | AS13335Cloudflare, Inc. |
| 3 | 172.246.243.65 | Paris, Île-de-France, France | AS200484Sendinblue SAS |
| 3 | 35.190.14.188 | United States | AS396982Google LLC |
| 3 | 150.171.109.101 | United States | AS8075Microsoft Corporation |
| 3 | 20.105.232.42 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 3 | 34.149.254.14 | Kansas City, Missouri, United States | AS396982Google LLC |
| 3 | 35.241.3.184 | Kansas City, Missouri, United States | AS396982Google LLC |
| 3 | 192.178.183.190 | United States | AS15169Google LLC |
| 3 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 3 | 20.79.214.157 | Frankfurt am Main, Hesse, Germany | AS8075Microsoft Corporation |
| 70 | 18 | - | - |
Detected Technologies6
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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