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

Redirected to:
https://facebook-login-page-kappa.vercel.app/
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Submitted: Sep 6, 2026, 12:45:38 AMCompleted: Sep 6, 2026, 12:50:09 AMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 12 HTTP transactions. The main domain is facebook-login-page-kappa.vercel.app and was registered 6 years ago.

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

Effective URL:

https://facebook-login-page-kappa.vercel.app/
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AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page impersonates Facebook and harvests login credentials via a cross‑origin form; flagged by Safe Browsing – treat as high‑risk phishing.

Risk Factors
Brand impersonation
Cross‑origin credential form submission
Safe Browsing social engineering warning
Unranked / unknown‑age subdomain
Domain age information unavailable

Details

Page Title

Create Next App

Scan Type

public

Domain Name Analysis

Domain 'facebook-login-page-kappa.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'facebook-login-page-kappa'. Count 6 characters in 'vercel' with 2 vowels and 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length is three 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

10.89s
Total Load Time
150 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

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
664.29.17.67United States
AS16509Amazon.com, Inc.
6216.198.79.67United States
AS16509Amazon.com, Inc.
122--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118519472E805DE5F45738DE9B162B71A94CACA1ECC37A888F2DCC19D13E0EE08F45885

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGi4GmlsGwDQa/WGa03hPNcpPUAnvCV9/38fABXeDu+tEQgQmPQgQEggeE5B3a+U:TGvBs7Zu7VpnvpuhxVo+0gq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2905:AgABAIAAggAgAAASBQAQAARAAgCAA0AFIEgggikAAkAiAAABAECAAAgAAAAgAwoBIACYAUQAAAAAAgEAgQABQAAABAoKIACo

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:#1f936b

Other Hashes

Crop Resistant:0266989626261806

Scan History

Scan history not available

Unable to load historical scan data