Security Scan Report: r.brevo.etailment.de

Redirected to:
https://www.bitkom.org/Presse/Presseinformation/Unternehmen-wollen-Rec...
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Submitted: Jul 21, 2026, 5:21:06 AMCompleted: Jul 21, 2026, 5:22:43 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 2 HTTP transactions. The main domain is bitkom.org and was registered NaN years ago.

Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/7nVU1aA2nfwMGwU7wxy6cWsajIhIrcE/3GLxlhdSNzrj

Effective URL: https://www.bitkom.org/Presse/Presseinformation/Unternehmen-wollen-Rechenzentren-DeutschlandRedirected

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

The page is a benign redirect to Bitkom.org; no credential harvesting or malware observed, but brand‑domain mismatch on an unranked domain warrants caution.

Risk Factors
Brand name appears in meta tags while domain is unrelated
Unranked / low‑reputation redirect domain
Safety Factors
No forms collecting credentials or payments
No malicious JavaScript or network indicators
Redirect ultimately lands on the official Bitkom website
Very old domain registration
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Unternehmen wollen Rechenzentren in Deutschland | Presseinformation | Bitkom e. V.

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

government public service

(51%)

Domain Information

The domain 'r.brevo.etailment.de' uses the German country-code top-level domain (.de) with subdomain 'r.brevo'. The second-level label 'etailment' is 9 characters long holding four vowels versus 5 consonants. Breaking it apart gives two words: et, ailment. Median word length is 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/7nVU1aA2nfwMGwU7wxy6cWsajIhIrcE/3GLxlhdSNzrj

Page Load Overview

5.50s
Total Load Time
121
HTTP Requests
9
Domains
2.0 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:5,434 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
51%
corporate
35%
corporate business
34%
forum community discussion
32%
news/blog
20%

Detected Features

Search
OG: Presseinformation
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
41172.246.243.65Paris, Île-de-France, France
AS200484Sendinblue SAS
4037.208.107.132Germany
AS58010uvensys GmbH
40141.101.90.105Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1213--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17193D932E5E4583B408393E56BB6B71ABBAAD103D14B4404F3EC03995FA7EE6CD63509

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:fyKfRkuhRvCuNw/hBggn7iegjGOiZJtvhE42C5XcpRvjS6cwr3++ADu:fyuF5NwkfiZJtvhE42C5XcpRvjS6cwr9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:96577:ARToVek4ZAyQBrY4VkMABTVAhk4JiYaCQAKMg5GSoAEVRRl0IPDNPB3+SEQiGQoYBJRA9AAiqIJo6KkC8QgQAilMcKCGAIpo

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:00001c3c3c180000
Perceptual Hash:991266e19eccf932
Difference Hash:e2de79f1f1320609
Wavelet Hash:7e001c3c3cfb8387
Color Hash:#7998d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data