Summary
API
This website contacted 4 IPs in 2 countries across 15 domains to perform 230 HTTP transactions. The main domain is spitta.de.
Submitted URL: https://spitta.de
Effective URL:
AI Security Verdict
Low Risk
Confidence: 85%
Site presents multiple login forms on an unranked, age‑unknown domain, indicating a high risk of credential phishing.
Risk Factors (4)
Safety Factors (6)
Details
Page Title
Spitta - Der Online-Shop für Zahnmedizin und Zahntechnik
Scan Type
public
Domain Name Analysis
The domain name 'spitta.de' uses the German country-code top-level domain (.de) while skipping any subdomain. Its registrable label 'spitta' stretches across 6 characters split between two vowels and 4 consonants. Splitting it apart reveals 2 words: s, pitta. Average segment length settles at 3 characters. 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 | 128.140.73.48 | Nuremberg, Bavaria, Germany | AS24940Hetzner Online GmbH |
| 57 | 142.251.14.97 | United States | AS15169Google LLC |
| 57 | 142.251.155.119 | United States | AS15169Google LLC |
| 57 | 193.111.100.239 | Germany | AS35710weber.digital GmbH |
| 230 | 4 | - | - |
Detected Technologies15
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