Summary
This website contacted 5 IPs in 4 countries across 5 domains to perform 2 HTTP transactions. The main domain is saauth.ezvizlife.com and was registered NaN years ago.
Submitted URL: https://apiisa.ezvizlife.com
Effective URL: https://saauth.ezvizlife.com/signIn?from=4e4148ba90184a7cbd81&r=6621788857778126483&returnUrl=plugin&host=apiisa.ezvizlife.com&u=Rh5Vke7DvUEeGuYQm65WxTa/dXvKu7XGVlNH0xKNtWrmfIyEEbvE6ANG0z8xeUY1&s=PJK+8sr4cabfkt1F75gBL2K2XD38ANveZj5zyDlHNrZDoB+KNCfInp/1gvig9eYzTuhXfsTBEmti8lH8naREhA==&c=3104867148&v=Redirected
The Cisco Umbrella rank of the primary domain is #16,340 of the top 1 million websites
AI Security Verdict
Moderate Risk
Confidence: 88%
The site hosts a credential‑harvesting login with disguised password fields and obfuscated scripts; treat as high‑risk phishing.
Risk Factors
Safety Factors
Details
Page Title
User Authentication Center
Scan Type
public
Language
English
Category
technology software
(64%)Domain Information
Domain 'apiisa.ezvizlife.com' uses the commercial generic top-level domain (.com), featuring subdomain 'apiisa'. The second-level label 'ezvizlife' is 9 characters long split between 4 vowels and five consonants. Word splitting yields three words: ez, viz, life. 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 |
|---|---|---|---|
| 10 | 124.81.6.50 | São Paulo, São Paulo, Brazil | AS136907HUAWEI CLOUDS |
| 9 | 65.8.31.3Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 9 | 142.250.154.97Google · CDN | United States | AS15169Google LLC |
| 9 | 47.241.79.56 | Singapore, Singapore | AS45102Alibaba (US) Technology Co., Ltd. |
| 9 | 54.76.90.208Aws · CLOUD | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 46 | 5 | - | - |
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