Security Scan Report: webmailbell.vercel.app

Redirected to:
https://webmailbell.vercel.app/
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Submitted: Jul 17, 2026, 9:51:49 AMCompleted: Jul 17, 2026, 9:53:01 AMpubliccompleted
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Summary

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

Submitted URL: http://webmailbell.vercel.app/

Effective URL: https://webmailbell.vercel.app/Redirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

The site mimics Bell's email login, hosts a credential‑stealing form on an unknown‑age Vercel subdomain; treat as high‑risk phishing.

Risk Factors
Brand impersonation
Credential harvesting form
Unknown subdomain age
Unranked / low‑reputation domain
External network request to third‑party API
Domain age information unavailable

Details

Page Title

Bell email

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(50%)

Domain Information

The domain name 'webmailbell.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'webmailbell'. Count 6 characters in 'vercel' holding two vowels versus four consonants. Splitting it apart reveals two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://webmailbell.vercel.app/

Page Load Overview

0.78s
Total Load Time
6
HTTP Requests
1
Domains
0 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:567 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software50% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
50%
documentation technical
33%
government public service
30%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.3United States
AS16509Amazon.com, Inc.
61--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EDA1661210F008EA0387B13ABB52511ABE55C06B6F1A9C0075BC0A6D1FF2E1BCEA759E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ns5kqlHSf525aH3WqTUqNx2LGmwVCoO3ht4O0CkVOGP01uPe0ZWFq7TF571:nOShzUqNx2R3TZ0CkcN1se08ij1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4953:CnkAgRRQEAAEQwJIAADAESzAwCJEAEhUAASELCgABZMAcCAAAQABYgLIAIMgQmAIGEgE4YgQoBQYAAY5IjAQgIYEkAAAgANa

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:00f7f3d1d7ffffff
Perceptual Hash:ec6c1716784b4376
Difference Hash:3b262323364a4000
Wavelet Hash:0081c1c1813fffff
Color Hash:#2d8637

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data