Summary
This website contacted 17 IPs in 4 countries across 18 domains to perform 34 HTTP transactions. The main domain is welt.de.
Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/1t6Af4OiGsFVLUgX7Johcs97dctiti/E92i1re2XcWY
Effective URL: https://www.welt.de/newsticker/dpa_nt/infoline_nt/wirtschaft_nt/article69bf5cc2af187d606b80e900/einzelhandel-schrumpft-bald-weniger-als-300-000-geschaefte.htmlRedirected
AI Security Verdict
Safe Website
Confidence: 94%
Legitimate news article; safe to view.
Safety Factors
Details
Page Title
Einzelhandel schrumpft – bald weniger als 300.000 Geschäfte - WELT
Scan Type
public
Language
German
Category
news media journalism
(82%)Domain Information
Domain 'r.brevo.etailment.de' uses the German country-code top-level domain (.de), featuring subdomain 'r.brevo'. The core label 'etailment' covers 9 characters containing 4 vowels alongside five consonants. Breaking it apart gives two words: et, ailment. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 15 | 65.8.131.24 | United States | AS16509Amazon.com, Inc. |
| 6 | 3.160.150.115 | United States | |
| 6 | 184.24.77.38 | Netherlands | |
| 6 | 185.111.111.157 | Germany | |
| 6 | 161.156.47.58 | United States | AS36351IBM Cloud |
| 6 | 4.245.63.218 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 6 | 104.18.21.31 | Unknown | |
| 6 | 142.251.140.162 | United States | AS15169Google LLC |
| 6 | 3.174.46.57 | United States | AS16509Amazon.com, Inc. |
| 6 | 23.36.162.205 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 111 | 17 | - | - |
Detected Technologies2
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data