ScanMalware.com

Security Scan Report: ru-zim.netlify.app

Redirected to:
https://ru-zim.netlify.app/
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/7c655dbb-b4be-4a20-97c2-cf9e95312bd6Domain and IP registration (RDAP)/api/v1/rdap/7c655dbb-b4be-4a20-97c2-cf9e95312bd6How often this domain was scanned/api/v1/domain/stats/ru-zim.netlify.appScan history for this domain/api/v1/domain/history/ru-zim.netlify.app?limit=15
This website contacted 2 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://ru-zim.netlify.app/

Effective URL:
https://ru-zim.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Page impersonates Zimbra and harvests credentials via a cross‑origin form; treat as high‑risk phishing.

Risk Factors (4)
Brand impersonation of Zimbra
Cross‑origin credential form submission to external domain
Unranked / unknown‑age subdomain on Netlify hosting
Presence of password field without disclosed backend
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

The domain 'ru-zim.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'ru-zim'. The registrable portion 'netlify' spans 7 characters containing 2 vowels alongside 5 consonants. Breaking it apart gives 3 words: net, li, fy. Average segment length settles at 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

31.74s
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
493.94.224.225Netherlands
AS25151Cyso Group B.V.
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
72--

Detected Technologies1

PasswordField
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19EB2E86625E518610AA370FC59CF111934B09C2B1009CE087DFC92A83FB5E7A56B7BFE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:g4jhRgFO3nhkxUT4OmYXhl2Ei0m5HDpupShi4i2iZi5iFieigiMiniHiNJci8i5:JjD3nhkxUT4Om6tc/oVHgA0v9BiCNJRr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23906:kEECUMAMDUoFAakQgeg1wRIBFwCAD4CFE4iaIW0AWg3kbiGQ4SlJROgAOMAmYCFAqIJYtPEYpSGABqSJnhCAGoJWCQBBK4LF

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

Crop Resistant:9ab8e2e2a032b2e0,504cb2b2b232cef3

Scan History

Scan history not available

Unable to load historical scan data