Security Scan Report: zimbras.vercel.app

Submitted: Jul 24, 2026, 1:51:42 PMCompleted: Jul 24, 2026, 1:53:10 PMpubliccompleted
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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: 82%

8
Risk Score

Page impersonates Zimbra with a login form on an unranked Vercel subdomain; high risk of credential phishing.

Risk Factors
Brand impersonation (Zimbra) on unrelated subdomain
Credential collection form on unknown-age subdomain
Unranked domain with no reputation
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); it also runs on subdomain 'zimbras'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.60s
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
13216.198.79.195United 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:#2dd259

Scan History

Scan history not available

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