Security Scan Report: r.brevo.etailment.de

Redirected to: https://etailment.de/newsletter/subscribe/

Submitted: Apr 20, 2026, 5:23:53 AMCompleted: Apr 20, 2026, 5:25:05 AMpubliccompleted
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Summary

This website contacted 18 IPs in 4 countries across 19 domains to perform 1 HTTP transaction. The main domain is etailment.de.

Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/7nVU1aA2nfyEo8HEV8qSjiwL4HN6rqg/t4h4QNf7DIs4

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Moderate risk due to unknown age and unranked domain, but no malicious activity observed.

Risk Factors
Unknown domain age
Unranked domain reputation
Presence of forms on a newly‑registered/unknown‑age domain
Safety Factors
No malicious Indicators of Compromise detected
No JavaScript malware YARA matches
No network IDS alerts
Page type is article (informational), not a login or payment page
No credential exfiltration or external malicious links
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 core label 'etailment' covers 9 characters split between 4 vowels and 5 consonants. Segmentation suggests 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/7nVU1aA2nfyEo8HEV8qSjiwL4HN6rqg/t4h4QNf7DIs4

Page Load Overview

3.15s
Total Load Time
70
HTTP Requests
24
Domains
617 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
1935.201.111.240Kansas City, Missouri, United States
AS396982Google LLC
334.149.254.14Kansas City, Missouri, United States
AS396982Google LLC
3172.246.243.65Paris, Île-de-France, France
AS200484Sendinblue SAS
357.144.110.128France
320.105.232.42Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
3104.19.148.8Unknown
3104.16.248.109United States
AS13335Cloudflare, Inc.
334.102.170.124Kansas City, Missouri, United States
AS396982Google LLC
3217.79.188.59UnknownUnknown
3104.18.23.151United States
AS13335Cloudflare, Inc.
7018--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E2E2F9229CE0613602B36294EE33FB54EB56904BC9579D4075EC856AAFCBEC98C1372D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:5ISMITUzofRpypDplMKNnQEJhr1b9ALuifLaMNLLTLl+J6TT:5ISMITUsfRk1plMKNQEJhr1JALuifL7t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31936:GpYEYByAU6BAQI6wUwCIDAKVgEYDATSxQdkwgqIBEZGIjKURgAIkxqCpAlFJFJC0QCBYShEinjYsD4AQEaNCoYQIYacAIDkg

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:83c3efcfcffffff7
Perceptual Hash:b1316c6d3139c793
Difference Hash:8686dc989d95b565
Wavelet Hash:8080424e4f4f5373
Color Hash:#d2482d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data