Security Scan Report: facebok-login.vercel.app

Submitted: Sep 20, 2026, 12:45:29 AMCompleted: Sep 20, 2026, 12:46:19 AMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Typosquatted 'facebok-login.vercel.app' clone of the Facebook login page that harvests email and password via a fake form. Definitive credential phishing - do not enter any details.

Risk Factors (5)
Brand impersonation of Facebook on a non-official domain
Credential collection form (email + password) on a typosquatted hostname
Form action posts to a relative PHP endpoint inconsistent with static hosting
Network IDS alerts for actor-abused cloud hosting service (vercel.app)
Domain absent from Cisco Umbrella top 1M
Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Domain Name Analysis

You're looking at domain 'facebok-login.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'facebok-login'. The core label 'vercel' covers 6 characters containing two vowels alongside 4 consonants. Breaking it apart gives 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://facebok-login.vercel.app/

Page Load Overview

1.75s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:75 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network98% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
98%
news media journalism
78%
healthcare medical
56%
government public service
53%
adult content
41%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
32--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15101DC0E08F0085504A0D2B02DC1F2382D86CD038B076940399DA66D7FA8F87CACB28C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRjy7f3aYxIVEV8dwenRkGsGx1oyoJDEJDVQgWyplLRqjFRVXyG5toM+j:hRjCeU+Jna8YNENaubRqDVXV4M8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:821:AAAAAAAAAAAAAAAAAAAAAAAAABAAAAgAEAAAAAAAAACAUIAACAAAABIAgADAAIAACAAAAIAGgAAAAAAAAAAAAAAAAAAAAAAA

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:2418182418000000
Perceptual Hash:939bcc6626333399
Difference Hash:4c32324c30080000
Wavelet Hash:e7ffffe700000000
Color Hash:#40bf62

Other Hashes

Crop Resistant:4c32324c30080000

Scan History

Scan history not available

Unable to load historical scan data