Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is wmail-zim-gov-rj-se-sp-br-63330a.netlify.app and was registered NaN years ago.
Submitted URL: https://wmail-zim-gov-rj-se-sp-br-63330a.netlify.app/
AI Security Verdict
High Risk
Confidence: 88%
Impersonates Zimbra login and harvests credentials via an external form; high‑risk phishing site.
Risk Factors
Details
Page Title
Zimbra Web Client Sign In
Scan Type
public
Language
English
Category
technology software
(63%)Domain Information
Within the application-focused generic top-level domain (.app), 'wmail-zim-gov-rj-se-sp-br-63330a.netlify.app' is registered and includes subdomain 'wmail-zim-gov-rj-se-sp-br-63330a'. The registrable portion 'netlify' spans 7 characters with 2 vowels and 5 consonants. It segments into 3 words: net, li, fy. Median word length is 2 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 |
|---|---|---|---|
| 3 | 42.112.40.169 | Hanoi, Hanoi, Vietnam | AS18403FPT Telecom Company |
| 3 | 63.176.8.218Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 6 | 2 | - | - |
Detected Technologies3
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