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

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https://wmail-web-zimbra-authenticator-4ae.netlify.app/
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Submitted: Jul 18, 2026, 6:50:34 AMCompleted: Jul 18, 2026, 6:53:07 AMpubliccompleted
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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: http://wmail-web-zimbra-authenticator-4ae.netlify.app

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

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Page impersonates Zimbra, collects credentials and exfiltrates them to an external domain; confirmed phishing scam.

Risk Factors
Brand mismatch with credential collection
Cross‑origin exfiltration of login data
Social engineering Safe Browsing flag
Unranked domain 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

You're looking at domain 'wmail-web-zimbra-authenticator-4ae.netlify.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'wmail-web-zimbra-authenticator-4ae'. Its registrable label 'netlify' stretches across 7 characters containing 2 vowels alongside 5 consonants. Splitting it apart reveals 3 words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.97s
Total Load Time
7
HTTP Requests
2
Domains
162 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
463.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
342.112.40.169Hanoi, Hanoi, Vietnam
AS18403FPT Telecom Company
72--

Detected Technologies1

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:#afc587

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data