Security Scan Report: r.brevo.etailment.de

Redirected to:
https://www.etailment.de/magazin/steuern-in-liquiditaet-verwandeln-inv...
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Submitted: Completed: publiccompleted
This website contacted 20 IPs in 3 countries across 11 domains to perform 151 HTTP transactions. The main domain is etailment.de and was registered 11 months ago.

Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/7nVU1aA2ng3uhNDYHdG0h8PtE8VQZ6M/PnSXNe3_Emjt

Effective URL:
https://www.etailment.de/magazin/steuern-in-liquiditaet-verwandeln-inv...
Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate German trade-magazine article on etailment.de. No credential or payment forms, no brand impersonation, no malware or phishing evidence; only a newsletter sign-up.

Safety Factors (5)
Established 356-day-old domain matching the displayed brand
og:type is 'article' with editorial content and publication-style metadata
Newsletter-only email capture with no credential or payment collection
Legitimate cross-origin SSO flow to etailment.de
Third-party scripts are ranked analytics, consent and advertising services
Domain age information unavailable

Details

Page Title

Steuern in Liquidität verwandeln: Investitionsgüter und E-Fahrzeuge jetzt clever abschreiben | etailment

Scan Type

public

Domain Name Analysis

The domain 'r.brevo.etailment.de' uses the German country-code top-level domain (.de) with subdomain 'r.brevo'. The registrable portion 'etailment' spans 9 characters holding 4 vowels versus five consonants. Breaking it apart gives 2 words: et, ailment. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://r.brevo.etailment.de/mk/cl/f/sh/7nVU1aA2ng3uhNDYHdG0h8PtE8VQZ6M/PnSXNe3_Emjt

Page Load Overview

2.73s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:1,314,357 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network97% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
97%
blog personal website
87%
technology software
81%
finance banking
80%
government public service
76%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18157.90.249.185Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
7172.246.243.65Paris, Île-de-France, France
AS200484Sendinblue SAS
7141.101.90.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.126.37.145Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7142.251.14.97Google · CDNUnited States
AS15169Google LLC
723.212.205.83Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
7192.178.183.155Google · CDNUnited States
AS15169Google LLC
7142.251.13.157Google · CDNUnited States
AS15169Google LLC
7142.251.20.139Google · CDNUnited States
AS15169Google LLC
7141.101.90.106Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
15120--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E3464472305A391F0E66F6B81A01CB06AFF054564A8726CAC1D9CF687DC6C3559AF0BF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:5m+eGvkViCqAJPtPaTh20nZ1K72t/eUkiOTMvrPXSCQTZcepiCiHODuAhDkoaTlC:y0nQ2t/miS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5762549:CkoSANQ0SokIFApnCA0QEBqAgkoSyBRYgIQgI0FomLgKBsABEUYEQSGAJ0qEekQCMdJKYaISgBeUJARAaZAaESCUxjIuACAQ

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:ffff9f839f93830f
Perceptual Hash:bcc3c067c03cce3e
Difference Hash:8c8a233f2b2736be
Wavelet Hash:7fe39b8383838307
Color Hash:#862d67

Scan History

Scan history not available

Unable to load historical scan data