Security Scan Report: r.brevo.etailment.de

Redirected to:
https://etailment.de/news/stories/anzeige-nrf-2026-retails-big-show-eu...
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Submitted: Jul 8, 2026, 5:34:13 AMCompleted: Jul 8, 2026, 5:35:23 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is etailment.de.

Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/1t6Af4OiGsE8LM5FwFWw85xdU9xVlW/NiL2CI1uUSPq

Effective URL: https://etailment.de/news/stories/anzeige-nrf-2026-retails-big-show-europe-programm-und-hoehepunkte-25518Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

The site appears to be a legitimate news article with no phishing or malware indicators.

Safety Factors
Informational article about NRF 2026 event
No suspicious redirects or external form submissions
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Anzeige: NRF 2026: Retail’s Big Show Europe Programm und Höhepunkte

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

social media network

(84%)

Domain Information

Domain 'r.brevo.etailment.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'r.brevo'. The second-level label 'etailment' is 9 characters long split between 4 vowels and 5 consonants. Splitting it apart reveals 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/1t6Af4OiGsE8LM5FwFWw85xdU9xVlW/NiL2CI1uUSPq

Page Load Overview

2.29s
Total Load Time
65
HTTP Requests
20
Domains
791 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:6,119 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network84% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
84%
news/blog
35%
e-commerce shopping
34%
entertainment media
30%
forum community discussion
29%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23172.246.243.65Paris, Île-de-France, France
AS200484Sendinblue SAS
21141.101.90.106Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
21104.18.23.151Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
653--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A823E5A28CD0613B025352E4EE31EF09F752905BC9465D11B6ECC25F9FCAE948D27A3E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:NI6I4UzofRpyp6kcJiVzPqplMI1NnQRo8LX6Cj4gCkf6huHgJxLUYdviX0b9ALuH:NI6I4UsfRkosoplMI1NQRo8LX6O4gjfM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48492:dwGGYhABSlTlAC4EpOIpYGn9gFFnCZ4AYol4NghEAAR0vCHyMRCAFCgUKQglIXJAmQDPpGCSAioAHMEgQiWoQgFAQgjBE0LQ

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:00181c1c3c3c3c00
Perceptual Hash:893967cd662c66c6
Difference Hash:3333313171717161
Wavelet Hash:003c3d3d3d3d3d38
Color Hash:#b76ce0

Scan History

Scan history not available

Unable to load historical scan data