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

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Submitted: Jul 21, 2026, 12:45:24 AMCompleted: Jul 21, 2026, 12:47:57 AMpubliccompleted
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Summary

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

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

AI Security Verdict

Confirmed Scam

Confidence: 88%

10
Risk Score

The site impersonates Facebook, hosts a credential‑stealing login form, and is flagged as phishing – confirmed scam.

Risk Factors
Brand impersonation
Cross‑origin credential form
Unranked / unknown‑age subdomain
Primary domain flagged as phishing
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 'facebook-login-page-kappa.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'facebook-login-page-kappa'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus 4 consonants. It segments into 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.00s
Total Load Time
11
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
1164.29.17.195United States
AS16509Amazon.com, Inc.
111--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C802B475A005DE4FEC577D58207FAD3A54CCC62FCAA6DDA8D2D8DA0506828B89FC2DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nGvBs7Zu7xpnvpuhxVo+0ggVcH+gcJ7qUXJvU0DzkKz2EDJ57cg1xqzcfxmx8sn4:Gvi7ZuLnvghxoZvdPkKzIgnqzcJmtc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8380:AZoSIUAKFQUSEDhmEDiQwDgBJkqhhU4DCASpA5RABMyjNgKY0DegHpCBkHCIiKDAKQngzACCLANEPQLhFKAqICAxHCghCKH5

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:#c587a0

Other Hashes

Crop Resistant:0266989626261806

Scan History

Scan history not available

Unable to load historical scan data