Security Scan Report: mugbell.vercel.app

Redirected to: https://mugbell.vercel.app/page

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Submitted: Dec 14, 2025, 2:48:17 AMCompleted: Dec 14, 2025, 2:48:40 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 8 HTTP transactions. The main domain is mugbell.vercel.app and was registered NaN years ago.

Submitted URL: https://mugbell.vercel.app/

Effective URL: https://mugbell.vercel.app/pageRedirected

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Site is a confirmed phishing scam harvesting credentials.

Risk Factors
Malicious domain indicator (phishing)
Credential harvesting login form
Primary domain flagged by Indicators of Compromise
Unranked domain with suspicious branding
Domain age information unavailable

Details

Page Title

Bell Business Site

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'mugbell.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'mugbell'. The registrable portion 'vercel' spans 6 characters with 2 vowels and four consonants. Word splitting yields 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://mugbell.vercel.app/

Page Load Overview

1.35s
Total Load Time
8
HTTP Requests
1
Domains
254 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:272 chars
Detector Agreement:50%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.131United States
AS16509AMAZON-02
4216.198.79.131United States
AS16509AMAZON-02
82--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B7F028119400C85E52234E5579722B6DC4D7994CCE4A5A4023EAC3B80BE9E90C975940

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:nqC2VBmM56M8Zb7118xM5ivV4NbAVeBEgb1HZb:nvuZ6tZX1yK5ivV4NkkP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:610:ABAAAgAAAAAAgAAAAAAAAAAAAAAAABAAAAAAAAEIAAAAAAAAAAAAAQAAAIgAAAKAAAUAAAAAAAAAAAQAAAAAAAAAAAAAAgAA

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:ffffffe7e7ffffff
Perceptual Hash:e699992666999966
Difference Hash:0008000c0c000800
Wavelet Hash:0c0c3c24273f0f0f
Color Hash:#8d2dd2

Other Hashes

Crop Resistant:0008000c0c000800

Scan History

Scan history not available

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