ScanMalware.com

Security Scan Report: www.faicbook.vercel.app

Redirected to:
https://faicbook.vercel.app/
Submitted: Oct 1, 2026, 1:45:10 PMCompleted: Oct 1, 2026, 1:45:51 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/18f8d1d7-c7f1-4bda-a7ed-fa12475e2f89Domain and IP registration (RDAP)/api/v1/rdap/18f8d1d7-c7f1-4bda-a7ed-fa12475e2f89Certificate Transparency/api/v1/ct/faicbook.vercel.appHow often this domain was scanned/api/v1/domain/stats/faicbook.vercel.appScan history for this domain/api/v1/domain/history/faicbook.vercel.app?limit=15

This website contacted 6 IPs in 2 countries across 5 domains to perform 8 HTTP transactions. The main domain is faicbook.vercel.app and was registered 18 years ago.

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

Effective URL:

https://faicbook.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Typosquatted 'faicbook.vercel.app' serves a fake French Facebook/Meta login page harvesting profile/e-mail and password credentials; domain is flagged as phishing. Do not enter credentials.

Risk Factors (5)
Typosquatted domain impersonating Facebook/Meta on a non-official domain
Credential-harvesting login form (password + email fields) on an unrelated domain
Primary domain reported as phishing by threat intelligence
Cisco Umbrella unranked domain while claiming a major brand
Hosted on a free instant-subdomain platform (vercel.app) with unknown page creation date
Domain age information unavailable

Details

Page Title

Connexion

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.faicbook.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'www.faicbook'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. Word splitting yields 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.91s
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
3216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
188.99.85.235Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
1159.69.246.187Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
86--

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:ffe7efe7e7ffffe7
Perceptual Hash:e666cccc66668ccc
Difference Hash:040c084d0c000c0c
Wavelet Hash:24242424273f3f27
Color Hash:#1f931f

Other Hashes

Crop Resistant:040c084d0c000c0c

Scan History

Scan history not available

Unable to load historical scan data