Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 46 HTTP transactions. The main domain is ztanwfoo.click and was registered NaN years ago.
Submitted URL: https://ztanwfoo.click/
Effective URL: https://ztanwfoo.click/#/pages/login/indexRedirected
AI Security Verdict
Safe Website
Confidence: 92%
No suspicious indicators detected; the site appears legitimate.
Safety Factors
Details
Page Title
登录
Scan Type
public
Language
Chinese
Category
e-commerce shopping
(91%)Domain Information
Within the .click top-level domain, 'ztanwfoo.click' is registered while skipping any subdomain. The registrable portion 'ztanwfoo' spans 8 characters containing 3 vowels alongside five consonants. Segmentation suggests four words: z, tan, w, foo. Median word length is 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 |
|---|---|---|---|
| 15 | 106.54.228.253 | United Kingdom | |
| 13 | 82.152.64.210 | Stafford, England, United Kingdom | AS8851GCI Network Solutions Limited |
| 13 | 163.181.58.166 | Frankfurt am Main, Hesse, Germany | AS24429Zhejiang Taobao Network Co.,Ltd |
| 41 | 3 | - | - |
Detected Technologies2
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