Summary
This website contacted 30 IPs in 2 countries across 4 domains to perform 60 HTTP transactions. The main domain is landkreistag.de.
Submitted URL: http://www.landkreistag.de/
Effective URL: https://www.landkreistag.de/Redirected
AI Security Verdict
Safe Website
Confidence: 90%
Legitimate site of Deutscher Landkreistag with no security concerns.
Safety Factors
Details
Page Title
Aktuelles – Deutscher Landkreistag (DLT)
Scan Type
public
Language
German
Category
news/blog
(40%)Domain Information
Within the German country-code top-level domain (.de), 'www.landkreistag.de' is registered with subdomain 'www'. Its registrable label 'landkreistag' stretches across 12 characters holding four vowels versus eight consonants. Tokenizing the label suggests 2 words: land, kreistag. Median word length comes out to 6 characters. Most frequently, 'land' shows up in Icelandic. Usage also turns up in Dutch and German contexts.
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 |
|---|---|---|---|
| 2 | 217.160.0.146 | Germany | AS8560IONOS SE |
| 2 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 142.250.185.214 | United States | AS15169GOOGLE |
| 2 | 142.250.186.86 | United States | AS15169GOOGLE |
| 2 | 2a00:1450:4001:812::2016 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 2 | 151.101.2.137 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 142.250.186.182 | United States | AS15169GOOGLE |
| 2 | 216.58.206.54 | United States | AS15169GOOGLE |
| 2 | 142.250.185.118 | United States | AS15169GOOGLE |
| 2 | 151.101.194.137 | San Francisco, California, United States | AS54113FASTLY |
| 60 | 30 | - | - |
Detected Technologies7
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
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