Summary
This website contacted 1 IP in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is wsa-elbe-nordsee.wsv.de.
Submitted URL: http://www.wsa-toenning.wsv.de
Effective URL: https://www.wsa-elbe-nordsee.wsv.de/Webs/WSA/Elbe-Nordsee/DE/0_Startseite/startseite_node.htmlRedirected
The Cisco Umbrella rank of the primary domain is #246,490 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 85%
The site appears to be a legitimate German waterway authority portal with no malicious indicators.
Risk Factors
Safety Factors
Details
Page Title
WSA Elbe-Nordsee - Startseite
Scan Type
public
Language
German
Category
government public service
(91%)Domain Information
The domain name 'www.wsa-toenning.wsv.de' uses the German country-code top-level domain (.de), featuring subdomain 'www.wsa-toenning'. The core label 'wsv' covers 3 characters split between 0 vowels and three consonants. Segmentation suggests 1 word: wsv. Expect 3 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 |
|---|---|---|---|
| 59 | 141.38.3.30 | Germany | AS41289Deutscher Wetterdienst |
| 59 | 1 | - | - |
Detected Technologies3
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
Unable to load historical scan data