Security Scan Report: zimbras.vercel.app

Submitted: Jul 10, 2026, 3:51:15 AMCompleted: Jul 10, 2026, 3:52:33 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is zimbras.vercel.app and was registered NaN years ago.

Submitted URL: https://zimbras.vercel.app/

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

High‑risk credential phishing site impersonating Zimbra; do not enter credentials.

Risk Factors
Unranked domain
Subdomain on hosting platform with unknown age
Brand impersonation of Zimbra
Credential collection form on mismatched domain
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(42%)

Domain Information

Domain 'zimbras.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'zimbras'. The core label 'vercel' covers 6 characters containing two vowels alongside 4 consonants. It segments into two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zimbras.vercel.app/

Page Load Overview

0.86s
Total Load Time
13
HTTP Requests
1
Domains
199 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:354 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software42% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
42%
forum community discussion
28%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13216.198.79.67United States
AS16509Amazon.com, Inc.
131--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE129534F805ED5BF95B6D5D203A9E3A50CED63EC265887CA2DCCB880792C7547A5DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GvfTyZuRaLnvdWqmoUJtQFBiI9/6PgnqzcpmBdgUDx:2fT8uRKv9BUYFBiIh62Bmx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9545:JGOxgggII/QgzigLW0oVgUoAAI8IBSQgASAGZEkABgkgEAK0ExgeBZQAaUDwIKyA4xA4MFQqL1CAZg05AEatxAxyU7KUqgag

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:f7e7c3e7ffffffff
Perceptual Hash:b333cccc8c999999
Difference Hash:0c4d4d4d0004000c
Wavelet Hash:03030303fcfcfcc0
Color Hash:#783a74

Scan History

Scan history not available

Unable to load historical scan data