Security Scan Report: zimbrawebmailclientsignin.netlify.app

Submitted: Sep 15, 2026, 4:45:25 PMCompleted: Sep 15, 2026, 4:46:01 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Zimbra Web Client login hosted on a netlify.app subdomain; credential form impersonates Zimbra with no legitimate affiliation. High-risk credential phishing.

Risk Factors (4)
Brand impersonation of Zimbra
Credential-harvesting login form
Suspicious netlify.app subdomain with no legitimate Zimbra affiliation
Unranked domain claiming a major brand
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

The domain name 'zimbrawebmailclientsignin.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'zimbrawebmailclientsignin'. Count 7 characters in 'netlify' with two vowels and 5 consonants. Segmentation suggests three words: net, li, fy. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zimbrawebmailclientsignin.netlify.app/

Page Load Overview

0.39s
Total Load Time
4 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:354 chars
Detector Agreement:50%

Website Classification

Primary Category

forum community discussion58% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

forum community discussion
58%
technology software
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15BE1B79B42F314516963A0792BA697053292C5039907CC143EDC53EC8F8BE9ADAF33CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:WqfCrUuR9efR4mECRcbKZbJFOx9/rAOg+IU+9iK:ofhrTIU+9iK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6873:BEYSAUUQEIAAwU4IEKmBAkF+CBAZCw6CMpTBVAQkSwIIkWAkrIUEEEREAlNDA0Q4AMDZEJRGoGnEJgEKCICCAbAFsCBCAA2C

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:ffffc7c7c3e7ffff
Perceptual Hash:a633c9cc33996666
Difference Hash:300c4d4d4d4d320c
Wavelet Hash:00000000c3c3ffff
Color Hash:#5f783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data