Summary
This website contacted 36 IPs in 3 countries across 10 domains to perform 86 HTTP transactions. The main domain is goethe.de and was registered NaN years ago.
Submitted URL: https://www.goethe.de/de/index.html
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Goethe-Institut | Sprache. Kultur. Deutschland.
Scan Type
public
Language
German
Category
education learning
(99%)Domain Information
You're looking at domain 'www.goethe.de' on the German country-code top-level domain (.de); it also runs on subdomain 'www'. Its registrable label 'goethe' stretches across 6 characters split between 3 vowels and three consonants. Splitting it apart reveals one word: goethe. Most frequently, 'goethe' shows up in Afrikaans. Usage also turns up in Catalan 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 |
|---|---|---|---|
| 60 | 23.197.131.212 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 17 | 35.190.14.188 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 35.241.3.184 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 142.250.185.232 | United States | AS15169GOOGLE |
| 2 | 18.173.205.16 | United States | AS16509AMAZON-02 |
| 2 | 2600:9000:2240:8000:7:4973:1b00:93a1 | United States | AS16509AMAZON-02 |
| 2 | 18.173.205.37 | United States | AS16509AMAZON-02 |
| 2 | 2600:9000:2724:3400:c:8c1e:5700:93a1 | United States | AS16509AMAZON-02 |
| 2 | 2600:1901:0:c07c:: | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 13.32.121.19 | New York, New York, United States | AS16509AMAZON-02 |
| 86 | 36 | - | - |
Detected Technologies4
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
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