Security Scan Report: peee-dash-zim-six.vercel.app

Submitted: Sep 24, 2026, 8:50:07 PMCompleted: Sep 24, 2026, 8:52:00 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 99%

10
Risk Score

Fake Zimbra login on vercel.app that submits email/password to formsubmit.co, matching phishing intel. Credential theft page.

Risk Factors (5)
Impersonates Zimbra login on a non-official domain
Credential-harvesting login form with password field
Cross-origin form submission to formsubmit.co with attacker email address
Threat-intel phishing match on the primary domain
Shared-hosting tenant with unknown page age, not affiliated with Zimbra
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

Domain 'peee-dash-zim-six.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'peee-dash-zim-six'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and 4 consonants. Breaking it apart gives 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://peee-dash-zim-six.vercel.app/zimba.html

Page Load Overview

80.14s
Total Load Time
7 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:738 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software59% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
59%
corporate business
35%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0129.153.230.99Oracle · CLOUDAshburn, Virginia, United States
AS31898Oracle Corporation
064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
23--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12EA2F96625E41C6106E7A0F858CF521938B59C2701099E087DFC91EC3FB5EAA52E3BBD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:HuDRR4lO3khkWUT4O+YXhl2Ei0mTwGp+p4tBiYiWiJi7Ui4ieiAisiniXimV5eib:ODr3khkWUT4O+6tcjtI1nQ7JVvdhiSmL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21838:QBJAnQGIERhgcCQCjQKoECAc0khKscEAgZEzQAFrGvBG2qGQAWGEQCLORkUUmJkASkKoW2GnZIMkgDoDGCExwuCECRoFACMA

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:3f1f0707ffffffff
Perceptual Hash:8000c0cfef3f373b
Difference Hash:c0b0bcb400000000
Wavelet Hash:3f000303f0f0f0f0
Color Hash:#2d866d

Other Hashes

Crop Resistant:c0b0bcb400000000

Scan History

Scan history not available

Unable to load historical scan data