Summary
API
This website contacted 13 IPs in 4 countries across 13 domains to perform 127 HTTP transactions. The main domain is dinao.store and was registered 18 years ago.
Submitted URL: https://dinao.store
Effective URL:
AI Security Verdict
High Risk
Confidence: 88%
Legitimate 4-year-old cycling store apparently compromised — page loads blockchain/EtherHiding malware, matching ClearFake Indicators of Compromise and CRITICAL ET MALWARE IDS alerts. Avoid interacting.
Risk Factors
Details
Page Title
Ridley Bicycles, South Africa - Dinao Store
Scan Type
public
Domain Name Analysis
You're looking at domain 'dinao.store' on the .store top-level domain without a subdomain. The registrable portion 'dinao' spans 5 characters containing 3 vowels alongside two consonants. It segments into two words: dina, o. Expect 2.5 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 |
|---|---|---|---|
| 19 | 162.159.137.54Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 9 | 142.251.13.95Google · CDN | United States | AS15169Google LLC |
| 9 | 102.218.215.35 | South Africa | AS329184Host Africa (Pty) Ltd |
| 9 | 2.18.68.4Akamai · CDN | Vienna, Vienna, Austria | AS16625Akamai Technologies, Inc. |
| 9 | 188.114.97.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 9 | 104.18.11.59Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 9 | 150.136.141.142Oracle · CLOUD | Ashburn, Virginia, United States | AS31898Oracle Corporation |
| 9 | 172.67.70.207Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 9 | 162.159.136.54Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 9 | 152.236.9.75 | Frankfurt am Main, Hesse, Germany | AS396356Latitude.sh |
| 127 | 13 | - | - |
Detected Technologies13
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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