Security Scan Report: folabell.vercel.app

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

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Submitted: Nov 1, 2025, 7:26:29 PMCompleted: Nov 1, 2025, 7:27:52 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 9 HTTP transactions. The main domain is folabell.vercel.app and was registered NaN years ago.

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

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

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing site impersonating Bell Canada; high risk of credential theft.

Risk Factors
Credential harvesting login form on a suspicious domain
Brand impersonation of Bell Canada on an unranked domain
Unranked domain presenting a well‑known brand without official affiliation
Domain age information unavailable

Details

Page Title

Bell Business Site

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'folabell.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'folabell'. The core label 'vercel' covers 6 characters containing 2 vowels alongside 4 consonants. Word splitting yields 2 words: ver, cel. Expect three characters per word on average. 'ver' is most common in Portuguese usage. You may catch it in Portuguese (Brazil) and Galician as well.

Screenshot

Security scan screenshot of https://folabell.vercel.app/

Page Load Overview

61.77s
Total Load Time
9
HTTP Requests
1
Domains
13 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
564.29.17.67United States
AS16509AMAZON-02
4216.198.79.67United States
AS16509AMAZON-02
92--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T178510220A6245C7A4247C89F79B11B8DBCCB8DC9EF160B803BFAC68967D5C6DEB14419

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nm6ZX1DMCNJCVauczEe8l0e2RXxeNSUzLJdY2l:nbNMOJv9zEe8QXxeffJH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2749:BBgQgAIAAAAAoABECIAACAAAADAAIAAwEEAAAaMIAAIAACCAAACgAACoIooAAAKAAAUJAAIAAAgQIAAFAAAAAEABiAABAxAA

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:00ffffffe7e77fff
Perceptual Hash:877c1c237a0d7237
Difference Hash:7b0080c0ccccc008
Wavelet Hash:00fe7e3e26260ece
Color Hash:#4062bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data