Security Scan Report: www.myne-nine.vercel.app

Redirected to:
https://myne-nine.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 3 domains to perform 6 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

Effective URL:
https://myne-nine.vercel.app/
Redirected

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

Domain 'www.myne-nine.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.myne-nine'. The second-level label 'vercel' is 6 characters long holding two vowels versus four consonants. Segmentation suggests 2 words: ver, cel. Median word length comes out to three 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

0.59s
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
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
134.241.168.233Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
65--

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