Security Scan Report: facebook-login-page-kappa.vercel.app

Redirected to:
https://facebook-login-page-kappa.vercel.app/
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Submitted: Jul 6, 2026, 12:45:02 AMCompleted: Jul 6, 2026, 12:46:19 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 facebook-login-page-kappa.vercel.app and was registered NaN years ago.

Submitted URL: http://facebook-login-page-kappa.vercel.app/

Effective URL: https://facebook-login-page-kappa.vercel.app/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Page impersonates Facebook and harvests login credentials via a cross‑origin form; treat as confirmed phishing scam.

Risk Factors
Brand impersonation
Credential harvesting form
Cross‑origin form submission to third‑party service
Unranked / unknown‑age subdomain on a hosting platform
Domain age information unavailable

Details

Page Title

Create Next App

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(97%)

Domain Information

Within the application-focused generic top-level domain (.app), 'facebook-login-page-kappa.vercel.app' is registered and includes subdomain 'facebook-login-page-kappa'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Splitting it apart reveals two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://facebook-login-page-kappa.vercel.app/

Page Load Overview

0.78s
Total Load Time
12
HTTP Requests
1
Domains
48 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:166 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
97%
technology software
56%
documentation technical
53%
cryptocurrency blockchain
26%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1264.29.17.195United States
AS16509Amazon.com, Inc.
121--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18902B475A405DE4FEC576D58207FAD3A54CCC62FCAA6DDA8D2DCCA0506828B89FC2DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nGvBs7Zu7VpnvpuhxVo+0ggVcH+gcJ7qUXJvU0DzkKz2EDJ57cg1xqzcfxmx8sn4:Gvi7Zu3nvghxoZvdPkKzIgnqzcJmtc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8457:RcQWAMPDCYSAgTGKUxUQxpoLhn5mwQEzEQCBBCDL4YBhDLAGBCE70ooEkhQHSEBnRAIRUuIBcIoA7QCjhREQAQMgHK9ooI+V

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:ffffdfc3f3f3ffff
Perceptual Hash:e4999b6464999b66
Difference Hash:0266989626261806
Wavelet Hash:f0f0ccc012120202
Color Hash:#c587a5

Other Hashes

Crop Resistant:0266989626261806

Scan History

Scan history not available

Unable to load historical scan data