Security Scan Report: r.brevo.etailment.de

Redirected to: https://etailment.de/news/stories/anzeige-herausforderung-ai-commerce--ai-visibility-start-up-aus-wien-mit-innovativer-loesung-25459

Submitted: Apr 23, 2026, 5:24:37 AMCompleted: Apr 23, 2026, 5:25:49 AMpubliccompleted
Loading additional data...

Summary

This website contacted 17 IPs in 4 countries across 18 domains to perform 1 HTTP transaction. The main domain is etailment.de.

Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/1t6Af4OiGsEag4HgKbcrIM1SrywFTa/lAFXyAiI_5Nn

Effective URL: https://etailment.de/news/stories/anzeige-herausforderung-ai-commerce--ai-visibility-start-up-aus-wien-mit-innovativer-loesung-25459Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site appears to be an informational article on a newly‑registered, unranked domain with high JS obfuscation but no phishing or malware indicators.

Risk Factors
Unknown domain age
Unranked domain reputation
High JavaScript obfuscation score
Brand mention on an unranked, newly‑registered domain
Safety Factors
No password, email, or payment fields in forms
No Indicators of Compromise matched
No JavaScript malware YARA patterns detected
Page type is article (informational) per og:type
No credential exfiltration or suspicious cross‑origin submissions
Domain age information unavailable

Details

Page Title

Anzeige: Herausforderung AI Commerce & AI Visibility: Start-up aus Wien mit innovativer Lösung

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

technology software

(74%)

Domain Information

Within the German country-code top-level domain (.de), 'r.brevo.etailment.de' is registered and includes subdomain 'r.brevo'. Its registrable label 'etailment' stretches across 9 characters holding 4 vowels versus 5 consonants. Word splitting yields 2 words: et, ailment. Average segment length settles 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/1t6Af4OiGsEag4HgKbcrIM1SrywFTa/lAFXyAiI_5Nn

Page Load Overview

2.23s
Total Load Time
66
HTTP Requests
19
Domains
1023 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:10,291 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software74% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
74%
news/blog
35%
e-commerce shopping
28%
news
15%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1820.105.232.42Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
320.105.224.33Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
334.149.254.14Kansas City, Missouri, United States
AS396982Google LLC
320.79.214.157Frankfurt am Main, Hesse, Germany
AS8075Microsoft Corporation
3150.171.109.101United States
AS8075Microsoft Corporation
3104.19.147.8Unknown
3157.240.0.6UnknownUnknown
335.241.3.184Kansas City, Missouri, United States
AS396982Google LLC
3104.18.22.151United States
AS13335Cloudflare, Inc.
335.201.111.240Kansas City, Missouri, United States
AS396982Google LLC
6617--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1644318729CC1643A0253A3D4AB31AF59F742A01BC9033D52B6ECC31F5BCADA9C95762D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:5IykIz6wUsfRkoRYzfplMWNQRoDzX6+yAgPfZyW4Zc1XJALuifL81LTLAJuT:5IVIz6wTRWfplMWNQRovX6+yAAfH4OXr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59083:gWyCIqgUxkgLtAcIUU0ADCQAWASwYQhksIgYQQAANUR0CCwAEEZQMUAdRNICXCiAYKAC/BS5EAFcAEVBKYyDlmMLEIKcApho

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:83c3ffe7ffffffe7
Perceptual Hash:e43d65696464c69b
Difference Hash:86966d0d6d444d4d
Wavelet Hash:000135217d757767
Color Hash:#40bfae

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data