Summary
This website contacted 14 IPs in 4 countries across 8 domains to perform 110 HTTP transactions. The main domain is clseifert.com.
Submitted URL: https://content-se.clseifert.com/
Effective URL: https://clseifert.com/svRedirected
AI Security Verdict
Safe Website
Confidence: 90%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Designa din studentmössa - C.L. Seifert
Scan Type
public
Language
Swedish
Category
corporate
(35%)Domain Information
Domain 'content-se.clseifert.com' uses the commercial generic top-level domain (.com), featuring subdomain 'content-se'. Its registrable label 'clseifert' stretches across 9 characters containing 3 vowels alongside six consonants. It segments into 3 words: cl, sei, fert. 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 |
|---|---|---|---|
| 56 | 94.76.242.84 | United Kingdom | AS29550Team Blue Carrier Limited |
| 45 | 83.217.92.183 | Amsterdam, North Holland, Netherlands | AS34762Combell NV |
| 7 | 52.222.236.94 | United States | AS16509AMAZON-02 |
| 7 | 52.222.236.60 | United States | AS16509AMAZON-02 |
| 7 | 165.232.93.253 | Amsterdam, North Holland, Netherlands | AS14061DIGITALOCEAN-ASN |
| 7 | 206.189.5.60 | Amsterdam, North Holland, Netherlands | AS14061DIGITALOCEAN-ASN |
| 7 | 104.248.196.220 | Amsterdam, North Holland, Netherlands | AS14061DIGITALOCEAN-ASN |
| 7 | 188.166.57.74 | Amsterdam, North Holland, Netherlands | AS14061DIGITALOCEAN-ASN |
| 7 | 2a00:1450:4001:804::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 52.222.236.71 | United States | AS16509AMAZON-02 |
| 110 | 14 | - | - |
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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