Security Scan Report: ze-em.netlify.app

Redirected to:
https://ze-em.netlify.app/
Submitted: Completed: publiccompleted
This website contacted 3 IPs in 2 countries across 2 domains to perform 7 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://ze-em.netlify.app/

Effective URL:
https://ze-em.netlify.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Fake Zimbra login page on Netlify that captures credentials and submits them to submit-form.com; not official Zimbra.

Risk Factors (5)
Brand impersonation of Zimbra
Credential harvesting login form (password + username)
Cross-origin form submission to third-party submit-form.com
Hosted on free platform subdomain with unknown age
Copied Zimbra branding and meta description
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

The domain 'ze-em.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'ze-em'. The second-level label 'netlify' is 7 characters long with 2 vowels and 5 consonants. Segmentation suggests 3 words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

zimbra Sign In ( )Stay signed in Web App Version Default Copyright & 2005-2026 Synacor, Inc. All rights reserved. "Zimbra’ is a registered trademark of Synacor. Inc,

Page Load Overview

22.74s
Total Load Time
181 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:738 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software64% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
64%
corporate business
39%
documentation technical
32%
government public service
28%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
393.94.224.225Netherlands
AS25151Cyso Group B.V.
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
73--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19AB2E96625E518610AA370FC59CF111934B49C271009CE087DFC92A83FB6E7A56B7BFE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gPjhRgFO3nhkxUT4OmYXhl2Ei0m5HDpupShi4i2iZi5iFieigiMiniHiNJci8i5:+jD3nhkxUT4Om6tc/oVHgA0v9BiCNJRr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23906:kIAOYNRoIQIECMhQssk2IhihFBrMRICkIJDLCd0gQQUtiiGQwAhRZJBAoKYkMDFBqMAapnEQoSEAH8Cv9gAACJLUqWQDLUUA

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:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data