Security Scan Report: facbookapp.vercel.app

Submitted: Sep 16, 2026, 2:45:07 AMCompleted: Sep 16, 2026, 2:45:31 AMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed Facebook/Meta credential-phishing page on a typosquatted Vercel subdomain, presenting a fake French Facebook login that captures email and password.

Risk Factors
Credential phishing login form impersonating Facebook/Meta
Typosquatted domain name 'facbookapp' on free instant hosting
Brand impersonation of a major social media brand on a non-official domain
Fake 'incorrect password' error message to induce repeated credential submission
Unranked domain with no legitimate reputation
Domain age information unavailable

Details

Page Title

Connexion

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'facbookapp.vercel.app' is registered; it also runs on subdomain 'facbookapp'. The core label 'vercel' covers 6 characters with 2 vowels and four consonants. It segments into two 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://facbookapp.vercel.app/

Page Load Overview

1.90s
Total Load Time
75 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:fr
Text Length:220 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network54% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
54%
news media journalism
40%
forum community discussion
37%
adult content
35%
finance banking
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1192.178.183.94Google · CDNUnited States
AS15169Google LLC
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
195.216.163.127Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
65--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12AD186531EA328426153C86977F3AB057674D4038246CD743EEDA364CF8AB8999A33FC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:DwJRuX6K6KKPipTFVWKmHXFiUold0iYhby4NYT4l7K+VFUiztxsXbiBiXH:D8RuqbUpTFVTCXMJENMFJiqiBiXH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6499:AQEKAEAJbACIBEBAAQQBqQEL4qAIuLGCAhVAMEADAoFQBpQOGWEABEM4NykiFEAqqGMKAEQEgQBGiQAQElgBAAuAgAJIAlYB

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:ffffffe7e7ffffe7
Perceptual Hash:e664cccc6666cccc
Difference Hash:0408004d0c000c0c
Wavelet Hash:243c2424273f2f27
Color Hash:#2dd251

Other Hashes

Crop Resistant:0408004d0c000c0c

Scan History

Scan history not available

Unable to load historical scan data