Security Scan Report: wmail-web-zimbra-authenticator-4ae.netlify.app

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Submitted: Jul 16, 2026, 12:45:05 PMCompleted: Jul 16, 2026, 12:46:26 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is wmail-web-zimbra-authenticator-4ae.netlify.app and was registered NaN years ago.

Submitted URL: https://wmail-web-zimbra-authenticator-4ae.netlify.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page impersonates Zimbra and harvests credentials via an external form; treat as high‑risk phishing.

Risk Factors
Brand impersonation (Zimbra) on mismatched domain
Credential collection form
Cross‑origin form submission to third‑party service
Unranked / unknown‑age subdomain on hosting platform
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(63%)

Domain Information

The domain 'wmail-web-zimbra-authenticator-4ae.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'wmail-web-zimbra-authenticator-4ae'. Count 7 characters in 'netlify' split between 2 vowels and 5 consonants. Splitting it apart reveals three words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wmail-web-zimbra-authenticator-4ae.netlify.app/

Page Load Overview

8.11s
Total Load Time
6
HTTP Requests
2
Domains
166 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:734 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software63% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
63%
corporate business
38%
documentation technical
31%
government public service
28%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
342.112.40.169Hanoi, Hanoi, Vietnam
AS18403FPT Telecom Company
62--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DFA2E76A25E5186106A770FC59CF111934B4DC271009CE087DFC92A83FB6E7A56A3BFE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:HeKjMRgFO3mhk7UT4OBYXhl2Ei0m5HDpupShi4i2iZi5iFieigiMiniHiNJci8i9:hje3mhk7UT4OB6tc/oVHgA0v9BiCNJRH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23115:RWoMicEAAQpsBZAhIQAASNpHM8ACVgU4A1AhESbqCk0MAAtRFAIhYqKiBBoYFTnRAwDINSELcYqUEBKDEIcUeIsgQQJAkJCR

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

Average Hash:0000181818180000
Perceptual Hash:99da26f689a4d923
Difference Hash:504cb2b2b232cef3
Wavelet Hash:f07cfeff1f980000
Color Hash:#53ac6b

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data