Summary
API
Submitted URL: https://mikicks.ru
AI Security Verdict
Moderate Risk
Confidence: 68%
Established counterfeit-goods storefront selling replica designer items with misspelled brand names to evade filters. No phishing or malware, but high risk of receiving fake goods or losing payment.
Risk Factors (3)
Safety Factors (4)
Details
Page Title
Classics Store - mikicks.ru
Scan Type
public
Domain Name Analysis
The domain name 'mikicks.ru' uses the Russian country-code top-level domain (.ru) without a subdomain. Count 7 characters in 'mikicks' split between two vowels and five consonants. It segments into 2 words: mi, kicks. Expect 3.5 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 |
|---|---|---|---|
| 33 | 104.244.77.92 | Switzerland | AS53667FranTech Solutions |
| 3 | 163.181.254.191 | United States | AS24429Zhejiang Taobao Network Co.,Ltd |
| 3 | 117.187.133.33 | China | AS138407The Internet Data Center of Guizhou Mobile Communication Company Limited |
| 3 | 43.159.107.113 | Singapore | AS139341ACE |
| 3 | 23.36.162.80Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 3 | 142.251.152.4Google · CDN | United States | AS15169Google LLC |
| 3 | 2.16.206.135Akamai · CDN | Hamburg, Free and Hanseatic City of Hamburg, Germany | AS20940Akamai International B.V. |
| 3 | 163.181.254.192 | United States | AS24429Zhejiang Taobao Network Co.,Ltd |
| 3 | 218.60.100.155 | China | AS4837CHINA UNICOM China169 Backbone |
| 168 | 46 | - | - |
Detected Technologies5
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
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