Summary
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is wcoswaj.cn and was registered NaN years ago.
Submitted URL: https://wcoswaj.cn/k6Lp1v/user/wxU1ZCQ3uGtnMi/BPaUqX7C/promo/iGqVLY/reviews/LgysRDvlmyAof/1895f9/help/hKTnoSu3Pqx/lMXPP3/support/1cLWIF/product/YPRtjKqWUgjaU?locale=ja-JP&category=cE0qp&cart_id=_KfFr2cK_Y&user_agent=NfU-fowxuj&ref=-3Adxv3j
Effective URL: https://wcoswaj.cn/index.htmlRedirected
AI Security Verdict
Safe Website
Confidence: 80%
No suspicious activity detected; site appears legitimate.
Safety Factors
Details
Page Title
恭喜，站点创建成功！
Scan Type
public
Language
BN
Category
cryptocurrency blockchain
(75%)Domain Information
You're looking at domain 'wcoswaj.cn' on the Chinese country-code top-level domain (.cn) without a subdomain. Count 7 characters in 'wcoswaj' split between 2 vowels and 5 consonants. Breaking it apart gives 4 words: w, cos, wa, j. Median word length comes out to 1.5 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 |
|---|---|---|---|
| 2 | 172.67.131.242 | United States | AS13335CLOUDFLARENET |
| 2 | 1 | - | - |
Detected Technologies3
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
Scan history not available
Unable to load historical scan data