Summary
This website contacted 6 IPs in 3 countries across 7 domains to perform 2 HTTP transactions. The main domain is endeveteasetsxmimgqiye.vercel.app and was registered NaN years ago.
Submitted URL: https://www.endeveteasetsxmimgqiye.vercel.app/
Effective URL: https://endeveteasetsxmimgqiye.vercel.app/?websrc=am9wK9140aX8UFFeA6vMcr42PzCb6bkkNfH0Gn3lC1p94R6WdLfvjYQBka9Ffvh1wSe642z8391JoPi0ajIIO3YwSJ9XseYCi0Q7euBPf5rSxmTm6An6OwzCo9vEVz0eKelh&dispatch=7J9eiF5JeJ7i272B3e34k21980He7k612ea4e6J&id=4ik14B5g53250g1530kJ7kk59DF9De4BD38399122aJ26D99HaJ30c752D7380gk4BRedirected
AI Security Verdict
Confirmed Scam
Confidence: 85%
The site impersonates NetEase email login, collects credentials via cross‑origin forms, and is flagged as phishing – confirmed scam.
Risk Factors
Details
Page Title
网易企业邮箱 - 登录入口
Scan Type
public
Language
Chinese
Category
social media network
(98%)Domain Information
The domain name 'www.endeveteasetsxmimgqiye.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.endeveteasetsxmimgqiye'. Count 6 characters in 'vercel' holding 2 vowels versus 4 consonants. Segmentation suggests two words: ver, cel. Expect 3 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 |
|---|---|---|---|
| 6 | 103.129.252.59 | Hong Kong | AS137263NETEASE HONG KONG LIMITED |
| 4 | 216.198.79.67 | United States | AS16509Amazon.com, Inc. |
| 4 | 47.91.89.87 | Frankfurt am Main, Hesse, Germany | AS45102Alibaba (US) Technology Co., Ltd. |
| 4 | 104.17.25.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 64.29.17.67 | United States | AS16509Amazon.com, Inc. |
| 4 | 103.129.252.61 | Hong Kong | AS137263NETEASE HONG KONG LIMITED |
| 26 | 6 | - | - |
Page Statistics
Detected Technologies7
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