Security Scan Report: myne-nine.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://myne-nine.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Cloned Zimbra webmail login on a vercel.app subdomain that posts captured passwords to freshytopics-owx.live — definitive credential phishing; never enter credentials.

Risk Factors (6)
Credential-harvesting form: password field submitted cross-origin to freshytopics-owx.live
Impersonation of Zimbra/Synacor webmail branding on an unrelated vercel.app subdomain
Fake 'session expired' login prompt
Free instant-hosting subdomain with no attributable creation date, unrelated to the brand
Institutional webmail (webmail.parliament.go.ke) referenced as the apparent target
IDS phishing and abused-cloud-hosting alerts
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

You're looking at domain 'myne-nine.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'myne-nine'. The core label 'vercel' covers 6 characters holding 2 vowels versus 4 consonants. Segmentation suggests 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Sign In Your session has expired, Please login again. Username Forgot Web App Version Default Copyright © 2005-2023 Synacor, Inc. All rights reserved. "Zimbra’ is a registered trademark of Synacor...

Page Load Overview

0.29s
Total Load Time
22 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:804 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software61% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
61%
corporate business
38%
documentation technical
30%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
134.241.168.233Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
54--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11883F831F282241AB02BC47DE483FA88792A9453C5565F39F93EB079EFC64ED1623746

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:zubv1ZuuiaEu+EC/jfeTtw3k9k4rFjD3mhkZUT4O36tcjtI1nQLlvdhiSmV5Kxt:C9Eu+Enhw3kpZo4gI1nQLlvdhiSCKxt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86928:hJAJRRQAGHIFqFCYGJLDHiACI6JQhDWtAQ0QiyhpwiGqTYAD5BDigkIAMtkiTojAzUAAAIMCiwgiEQKoAATlC1KhENFohzdA

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:99646633d9669999
Difference Hash:0430b2b2b2b23028
Wavelet Hash:f0f0f8f83c3c243c
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data