Security Scan Report: faicbook.vercel.app

Redirected to:
https://faicbook.vercel.app/
Submitted: Sep 25, 2026, 1:45:04 AMCompleted: Sep 25, 2026, 1:45:37 AMpubliccompleted

This website contacted 8 IPs in 2 countries across 4 domains to perform 7 HTTP transactions. The main domain is faicbook.vercel.app and was registered 18 years ago.

Submitted URL: http://faicbook.vercel.app/

Effective URL:

https://faicbook.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Typosquatted faicbook.vercel.app hosts a fake French Facebook/Meta login page harvesting credentials, with a phishing report on its own domain. Confirmed credential phishing.

Risk Factors (5)
Typosquatted domain impersonating Facebook (faicbook)
Brand impersonation of Meta/Facebook on an unranked vercel.app subdomain
Credential (password + email) login form designed to harvest Facebook credentials
Phishing report against the primary domain
Hosted on free/instant vercel.app subdomain with unknown page creation date
Domain age information unavailable

Details

Page Title

Connexion

Scan Type

public

Domain Name Analysis

The domain 'faicbook.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'faicbook'. The registrable portion 'vercel' spans 6 characters containing 2 vowels alongside 4 consonants. It segments into 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://faicbook.vercel.app/

Page Load Overview

0.35s
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 network61% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
61%
adult content
39%
news media journalism
39%
forum community discussion
36%
phishing scam
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
764.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0185.15.59.240United States
AS14907Wikimedia Foundation Inc.
0159.69.246.187Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
0192.178.183.94Google · CDNUnited States
AS15169Google LLC
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0195.201.128.178Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
0142.251.20.94Google · CDNUnited States
AS15169Google LLC
78--

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:243c2424273f3f27
Color Hash:#de6ce0

Other Hashes

Crop Resistant:0408004d0c000c0c

Scan History

Scan history not available

Unable to load historical scan data