Security Scan Report: ayonimhi.vercel.app

Submitted: Oct 1, 2026, 2:45:30 PMCompleted: Oct 1, 2026, 2:46:41 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Fake 'Mail Authentication' portal on a free Vercel subdomain harvesting email and password via a simulated secure-login/error loop. No legitimate mail service operates here — do not enter credentials.

Risk Factors (3)
Credential-harvesting form (password + email) on an unknown-age hosting-platform subdomain
Deceptive 'secure settings / mail authentication' framing with simulated authentication errors and attempt counters
Unranked domain with no established reputation while posing as a secure mail portal
Domain age information unavailable

Details

Page Title

PORTAL - Mail Authentication

Scan Type

public

Domain Name Analysis

The domain 'ayonimhi.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ayonimhi'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Segmentation suggests 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ayonimhi.vercel.app/ayonimhiiiihhdkffkjd.html

Page Load Overview

4.97s
Total Load Time
417 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:323 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
67%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1178.237.33.50Barendrecht, South Holland, Netherlands
AS8455atom86 BV
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1184.24.77.134Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1192.178.170.95Google · CDNUnited States
AS15169Google LLC
1104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
154.211.176.164Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2118--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1070497A9D14C04D16772C41BAF78B3E8A1B9F73AC8550CAAF82E580C4FC9B5525C2F79

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nOwMCMPMCMjMCM4MCMwMCM3sVMX709gbPMfjSFOTyPGuuprrlCFLVSG/y5lZf95J:S709gMGFiyPGuuprlCFLVSG/y7IgVi56

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187196:CSWTQGVrApdEHIIBiAAjSUKNRjOYahhJBYAgAcDJCmPJQWBxM6AMi5KYMDJG8McFggAEi5wFAxBCJAmC0QwuiVD0AwAAB5KE

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:ffe7e7ffffffffff
Perceptual Hash:f733998ccccc6423
Difference Hash:00080c0000000000
Wavelet Hash:0a020024f2f2f2f2
Color Hash:#2d8649

Other Hashes

Crop Resistant:00080c0000000000

Scan History

Scan history not available

Unable to load historical scan data