Summary
This website contacted 10 IPs in 2 countries across 10 domains to perform 1 HTTP transaction. The main domain is sieh-an.ch and was registered NaN years ago.
Submitted URL: https://sieh-an.ch
Effective URL: https://www.sieh-an.ch/Redirected
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate fashion retailer with no apparent security threats.
Safety Factors
Details
Page Title
Günstige Damenmode, Schuhe und Unterwäsche kaufen | Sieh an!
Scan Type
public
Language
German
Category
adult content
(76%)Domain Information
The domain name 'sieh-an.ch' uses the Swiss country-code top-level domain (.ch) and has no subdomain. Its registrable label 'sieh-an' stretches across 7 characters split between 3 vowels and three consonants, along with one hyphen. Breaking it apart gives 3 words: sie, h, an. The median word length lands at two 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 |
|---|---|---|---|
| 38 | 13.33.187.102 | New York, New York, United States | AS16509AMAZON-02 |
| 31 | 146.75.123.18 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 31 | 34.107.221.243 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 31 | 2.16.241.8 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 31 | 18.195.118.20 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 31 | 104.18.27.200 | United States | AS13335CLOUDFLARENET |
| 31 | 172.217.18.8 | United States | AS15169GOOGLE |
| 31 | 13.248.171.69 | Germany | Unknown |
| 31 | 54.192.35.81 | United States | AS16509AMAZON-02 |
| 31 | 54.192.35.86 | United States | AS16509AMAZON-02 |
| 317 | 10 | - | - |
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
Scan history not available
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