Summary
API
This website contacted 25 IPs in 3 countries across 15 domains to perform 222 HTTP transactions. The main domain is sinix.se and was registered 22 years ago.
Submitted URL: https://sinix.se
Effective URL:
AI Security Verdict
Safe Website
Confidence: 85%
Legitimate self-branded SiNIX technology group site. No forms, no impersonation, no malware, phishing, or Indicators of Compromise evidence found.
Safety Factors (5)
Details
Page Title
YOUR GO-TO TECH DESIGN HOUSE | SiNIX | Gothenburg
Scan Type
public
Domain Name Analysis
The domain name 'sinix.se' uses the Swedish country-code top-level domain (.se). Its registrable label 'sinix' stretches across 5 characters holding 2 vowels versus three consonants. It segments into three words: s, in, ix. Median word length comes out to 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 |
|---|---|---|---|
| 30 | 172.66.3.8Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 8 | 185.230.63.107 | Ashburn, Virginia, United States | AS58182Wix.com Ltd. |
| 8 | 34.49.229.81Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 8 | 65.8.131.125Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 8 | 192.114.147.161 | Israel | AS8551Bezeq International Ltd. |
| 8 | 192.117.112.99 | Qiryat Yam, Haifa, Israel | AS8551Bezeq International Ltd. |
| 8 | 151.101.130.217Fastly · CDN | United States | AS54113Fastly, Inc. |
| 8 | 23.36.158.179Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 8 | 32.192.152.105Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 8 | 34.149.206.255Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 222 | 25 | - | - |
Detected Technologies10
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