Security Scan Report: zimupdate-portal.vercel.app

Submitted: Sep 6, 2026, 7:50:15 AMCompleted: Sep 6, 2026, 7:51:46 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

The page impersonates Zimbra and harvests login credentials via a cross‑origin form, triggering high‑risk indicators and a IDS alert.

Risk Factors
Brand impersonation of Zimbra
Credential collection on untrusted external endpoint
Cross‑origin form submission
Unranked / unknown‑age subdomain on Vercel hosting
High‑severity IDS alert indicating possible data exfiltration
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'zimupdate-portal.vercel.app' is registered and includes subdomain 'zimupdate-portal'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. Breaking it apart gives 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://zimupdate-portal.vercel.app/

Page Load Overview

0.22s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:228 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software57% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
57%
corporate business
51%
government public service
40%
adult content
39%
documentation technical
38%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.195United States
AS16509Amazon.com, Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
22--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE51449695530C10F902B5702FD6CB1235A4C523824ECC793ECDB7ACCF9A9C946A339D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TBrlNgOG6P8NFwbAnN5gvxq4M8IGCK4uX9yM3sxl1AHxw7VHf+aj9/mz:TBrlANFJ85qJvW3sxl1T/+w9/4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2934:RAhMCEAGCQCACAAAAAgQAAAAlCGJASAAQMAAQAhAAAAADCAAQAAQgEAAoBKKAAAAAgAAAgAQSAgQGiCADAIAIAEAAABAIAAI

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:ffffe7e7e7e7ffff
Perceptual Hash:e6cc9933cc8c3366
Difference Hash:304c4d4d4d4d4c30
Wavelet Hash:e0e0c0c0c3c3c3c3
Color Hash:#d27984

Scan History

Scan history not available

Unable to load historical scan data