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

Redirected to:
https://facebook-login-page-kappa.vercel.app/
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Submitted: Jul 20, 2026, 12:45:15 AMCompleted: Jul 20, 2026, 12:46:45 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is facebook-login-page-kappa.vercel.app and was registered NaN years ago.

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

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page impersonates Facebook and harvests credentials via a cross‑origin form; treat as high‑risk phishing.

Risk Factors
Brand impersonation on unranked domain
Credential collection via login form
Cross‑origin form submission to third‑party service
Unknown subdomain age
Domain age information unavailable

Details

Page Title

Create Next App

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(97%)

Domain Information

You're looking at domain 'www.facebook-login-page-kappa.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'www.facebook-login-page-kappa'. The core label 'vercel' covers 6 characters with two vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

11.14s
Total Load Time
12
HTTP Requests
2
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
664.29.17.3United States
AS16509Amazon.com, Inc.
6216.198.79.3United States
AS16509Amazon.com, Inc.
122--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18E02A475A005DD4FEC577D58207FAD3A64CCC62FCAA6DDA8D2D8DA1506828789FC2DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nGvBs7Zu7fpnvpuhxVo+0ggVcH+gcJ7qUXJvU0DzkKz2EDJ57cg1xqzcfxmx8sn4:Gvi7ZuNnvghxoZvdPkKzIgnqzcJmtc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8298:zdUKrUAu2RjEg3fEAAYCBNiCABvJQKQLQkABRIFgBQBgACECJSI0dAiTxBgAKQtAwCysxQAGKxMxE1yFTNAxCAepqCkFDgiQ

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:#d2692d

Other Hashes

Crop Resistant:0266989626261806

Scan History

Scan history not available

Unable to load historical scan data