Security Scan Report: wehbmalmtz.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 1 country across 3 domains to perform 8 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://wehbmalmtz.vercel.app/?89814f65-4c33-43bf-9da6-d75601d37375

AI Security Verdict

High Risk

Confidence: 70%

8
Risk Score

Credential login for 'Bellis'/'MyAccount' hosted on a random vercel.app subdomain that does not match the brand — a classic off-brand phishing shape. Do not enter credentials.

Risk Factors (4)
Credential (username + password) collection form on a free hosting-platform subdomain imitating a named brand's account login
Brand name shown on page ('Bellis', 'MyAccount') does not match the serving domain
Gibberish, randomly generated subdomain name with a tracking GUID in the URL
Domain unranked / no reputation; tenant creation date unknown (could be minutes old)
Domain age information unavailable

Details

Page Title

Welcome Back!

Scan Type

public

Domain Name Analysis

The domain name 'wehbmalmtz.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'wehbmalmtz'. The core label 'vercel' covers 6 characters with 2 vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wehbmalmtz.vercel.app/?89814f65-4c33-43bf-9da6-d75601d37375

Page Load Overview

1.49s
Total Load Time
131 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:189 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business28% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
88--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15C5173B0615109BB51234DE1F2E1B76924DDE30FC267C880F3F882742BE9D908C97A29

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TIT9f37+tKS007wLKs3JTmV9OcAnONzNIcR3mX3WZ6K+kO:TCfLRSwWs3zk/IcRWXGZF+kO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2509:CAAAAAAAIAgIACCCAigoAAAgWIAAQASIIJAQIAAUQgIAAGQCgAEIRAAAIAAAEAAIAAoIMIIIgBEAAABEAEAQEABABABQUEAA

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:ffe7e7efe7e7e7ff
Perceptual Hash:b333cc64cccc6633
Difference Hash:00080c080c0c0800
Wavelet Hash:3f2707072424243c
Color Hash:#8c40bf

Other Hashes

Crop Resistant:00080c080c0c0800

Scan History

Scan history not available

Unable to load historical scan data