Summary
API
Submitted URL: https://enzmann-usedom.de
AI Security Verdict
High Risk
Confidence: 78%
Legitimate-looking German holiday-rental site whose network traffic shows CRITICAL EtherHiding malware-exfiltration IDS alerts, blockchain RPC C2 connections, and a malware-typed domain match — likely compromised. Avoid interaction.
Risk Factors (3)
Details
Page Title
Ferienwohnung Enzmann - Die Luxus-Ferienwohnung auf Usedom
Scan Type
public
Domain Name Analysis
Domain 'enzmann-usedom.de' uses the German country-code top-level domain (.de) while skipping any subdomain. The core label 'enzmann-usedom' covers 14 characters with 5 vowels and 8 consonants; it also includes 1 hyphen. Splitting it apart reveals four words: enz, mann, used, om. Expect 3.5 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 |
|---|---|---|---|
| 14 | 217.160.0.254 | Germany | AS8560IONOS SE |
| 6 | 104.18.1.22Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 6 | 104.16.179.112Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 6 | 172.66.146.203Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 6 | 13.226.244.72Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 6 | 104.18.0.22Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 6 | 35.227.193.242Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 6 | 13.226.244.50Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 6 | 13.226.244.66Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 6 | 13.226.244.17Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 68 | 10 | - | - |
Detected Technologies17
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
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