Summary
This website contacted 6 IPs in 3 countries across 6 domains to perform 1 HTTP transaction. The main domain is endeveteasetsxmimgqiye.vercel.app and was registered NaN years ago.
Submitted URL: https://endeveteasetsxmimgqiye.vercel.app/
Effective URL: https://endeveteasetsxmimgqiye.vercel.app/?websrc=d3m3ifV4D8SufOr8I13G4LTJ54b4xOnSR3LNZB3sW8jqOzKQM29mMrQCrZB5OwYeeSyv9H5I4L618iOKJJsbCIkH1lF6Vfa3Ip6rfTlQlEk3qP9w3f9OE62Yk3xTWyj4cSpz&dispatch=58B47g424Bg9a03a93eB06DF0DJ2F1FDDkHk5a3&id=ekg9k5k70e2JD705F8F9ei91cg66D248eD23Fe31gc60k3e6Dk44k9D02g4ag733k6Redirected
AI Security Verdict
High Risk
Confidence: 85%
Phishing page impersonating NetEase email login, collecting credentials via cross‑origin forms; high risk.
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 'endeveteasetsxmimgqiye.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'endeveteasetsxmimgqiye'. Count 6 characters in 'vercel' with two vowels and four consonants. It segments into two words: ver, cel. The median word length lands at three 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 |
|---|---|---|---|
| 5 | 104.17.24.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 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 | 103.129.252.61 | Hong Kong | AS137263NETEASE HONG KONG LIMITED |
| 4 | 103.129.252.59 | Hong Kong | AS137263NETEASE HONG KONG LIMITED |
| 4 | 47.254.150.209 | Frankfurt am Main, Hesse, Germany | AS45102Alibaba (US) Technology Co., Ltd. |
| 25 | 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