Summary
API
Submitted URL: https://oryoy.com
The Cisco Umbrella rank of the primary domain is #254,747 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 78%
Established Chinese tech blog with developer articles and a site-search form only; no credential or payment collection, no threat-intel, YARA or IDS phishing evidence. Low risk.
Safety Factors (5)
Details
Page Title
关于云原生实践的思考记录 - 云原生实践
Scan Type
public
Domain Name Analysis
The domain 'oryoy.com' uses the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'oryoy' stretches across 5 characters holding 2 vowels versus 3 consonants. Segmentation suggests 3 words: or, yo, y. Average segment length settles at 2 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 |
|---|---|---|---|
| 12 | 38.97.254.183 | Los Angeles, California, United States | AS979NetLab Global |
| 0 | 38.97.254.219 | Los Angeles, California, United States | AS979NetLab Global |
| 0 | 172.66.147.243Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 163.181.254.183 | United States | AS24429Zhejiang Taobao Network Co.,Ltd |
| 0 | 163.181.58.172 | Frankfurt am Main, Hesse, Germany | AS24429Zhejiang Taobao Network Co.,Ltd |
| 0 | 43.169.32.101 | Singapore | AS139341ACE |
| 0 | 111.45.11.83 | China | AS9808China Mobile Communications Group Co., Ltd. |
| 0 | 38.97.254.167 | Los Angeles, California, United States | AS979NetLab Global |
| 0 | 38.97.254.162 | Los Angeles, California, United States | AS979NetLab Global |
| 0 | 38.97.254.155 | Los Angeles, California, United States | AS979NetLab Global |
| 12 | 14 | - | - |
Detected Technologies4
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