Security Scan Report: r.brevo.etailment.de

Redirected to:
https://etailment.de/newsletter/subscribe/
Site favicon
Submitted: Jul 9, 2026, 5:22:31 AMCompleted: Jul 9, 2026, 5:23:42 AMpubliccompleted
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Summary

This website contacted 23 IPs in 4 countries across 23 domains to perform 68 HTTP transactions. The main domain is etailment.de.

Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/7nVU1aA2ng07nemXTi4um5G9EdrtbnC/Omzjue0wff2r

Effective URL: https://etailment.de/newsletter/subscribe/Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

The site appears to be a legitimate informational page with no phishing, malware, or credential‑harvesting activity.

Safety Factors
Content is informational article about e‑commerce newsletter
Domain age unknown but no malicious signals
Self‑branding matches domain (etailment.de)
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

E-Commerce Newsletter | Digital Commerce Magazin etailment

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

technology software

(100%)

Domain Information

Within the German country-code top-level domain (.de), 'r.brevo.etailment.de' is registered, featuring subdomain 'r.brevo'. The registrable portion 'etailment' spans 9 characters holding four vowels versus five consonants. Tokenizing the label suggests 2 words: et, ailment. Median word length comes out to 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://r.brevo.etailment.de/mk/cl/f/sh/7nVU1aA2ng07nemXTi4um5G9EdrtbnC/Omzjue0wff2r

Page Load Overview

2.79s
Total Load Time
68
HTTP Requests
23
Domains
676 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:1,528 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software100% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
100%
e-commerce shopping
78%
documentation technical
50%
real estate property
31%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2420.105.232.42Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
235.241.3.184Google · CDNKansas City, Missouri, United States
AS396982Google LLC
220.79.214.157Azure · CLOUDFrankfurt am Main, Hesse, Germany
AS8075Microsoft Corporation
234.102.170.124Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2142.251.110.91Google · CDNUnited States
AS15169Google LLC
2104.16.248.109Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
234.95.108.180Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2172.246.243.65Paris, Île-de-France, France
AS200484Sendinblue SAS
235.190.14.188Google · CDNKansas City, Missouri, United States
AS396982Google LLC
220.105.224.33Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
6823--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BAD2D6729CE06537029362D4EE31FB48EB56904BC9469D4175EC866EEFCBEC98C1362C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:NI4ITUzofRpypDplMIxNnQEJhr139ALuiyLAMNLLTLl+J6I:NI4ITUsfRk1plMIxNQEJhr1tALuiyLx6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30863:mKEhTCNISANIEEAJAJGJIABcFGgEACNIn8UaMVjkJJAUidBHQOQAA1ghgQeQa42YEgBhGj8A5DBDQohGgBEWkDSAFgQqEYEE

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

Average Hash:00183c3c3c3c3c00
Perceptual Hash:89316569666e66e6
Difference Hash:3333717171717161
Wavelet Hash:013c3c3c3d3d3d39
Color Hash:#bf6440

Scan History

Scan history not available

Unable to load historical scan data