Security Scan Report: r.brevo.etailment.de

Redirected to:
https://www.etailment.de/
Bot Protection Detected

This website is protected by datadome bot protection. The page may show differently for regular users.

Site favicon
Submitted: Sep 9, 2026, 5:27:04 AMCompleted: Sep 9, 2026, 5:29:17 AMpubliccompleted

Summary

This website contacted 11 IPs in 3 countries across 12 domains to perform 2 HTTP transactions. The main domain is etailment.de and was registered 23 years ago.

Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/1t6Af4OiGsDg0dspXtR0xpto6Kym3S/hsliEz7W2u_I

Effective URL: https://www.etailment.de/Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

The page shows no malicious signals, uses its own branding, and is hosted on an established domain.

Safety Factors
Established domain age
Self‑branding matches domain
No forms collecting credentials
No malicious IoCs or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

etailment – Das Fachmagazin für E-Commerce und Handel

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

blog personal website

(87%)

Domain Information

Within the German country-code top-level domain (.de), 'r.brevo.etailment.de' is registered with subdomain 'r.brevo'. Its registrable label 'etailment' stretches across 9 characters containing four vowels alongside 5 consonants. It segments into 2 words: et, ailment. The median word length lands at 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/1t6Af4OiGsDg0dspXtR0xpto6Kym3S/hsliEz7W2u_I

Page Load Overview

17.83s
Total Load Time
103
HTTP Requests
12
Domains
13.7 MB
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:116,686 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website87% confidence
Type: static
Method: ml+structural

All Detected Categories

blog personal website
87%
social media network
86%
e-commerce shopping
65%
technology software
56%
corporate business
49%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13172.246.243.65Paris, Île-de-France, France
AS200484Sendinblue SAS
9157.90.249.185Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
9141.101.90.107Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
92.16.32.22Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
9142.251.20.156Google · CDNUnited States
AS15169Google LLC
9104.18.37.40Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
923.36.162.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
923.36.162.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
9216.239.32.36Google · CDNUnited States
AS15169Google LLC
9142.251.110.157Google · CDNUnited States
AS15169Google LLC
10311--

Page Statistics

103
Requests
12
Unique Domains
1.7 MB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12FB44571305A391F0A62F6B81A01CB06AFE1555A4A8726CEC1C9CF647DC6C365DAF0BF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TM2SoccCumQ6YodDWstNv0fvGv1BbU1QUj5wfqrKGSwJFU+4:Tn6Ycgb5wfVgFU7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501479:egEBitrJUDNIRFBCcBEBAAaAhIAgL1AeSIEhGJJHICQQImQYnDaIiBDuIYQMUm4oIBgAlWgmM/QAIDSwgpjsEKC0hKkDCCCI

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:41383c3c3c3c0000
Perceptual Hash:8fae70c438f08f8b
Difference Hash:8f6161696960e019
Wavelet Hash:ff3c3c3d3c3c3800
Color Hash:#e06c7f

Scan History

Scan history not available

Unable to load historical scan data