Security Scan Report: www.faicbook.vercel.app

Redirected to:
https://faicbook.vercel.app/
Submitted: Sep 2, 2026, 1:45:32 PMCompleted: Sep 2, 2026, 1:48:34 PMpubliccompleted

Summary

This website contacted 7 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is faicbook.vercel.app and was registered 18 years ago.

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

Effective URL: https://faicbook.vercel.app/Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page impersonates Meta with a login form on an unknown‑age Vercel subdomain; high risk of credential phishing.

Risk Factors
Brand impersonation of Meta on an unrelated, unranked subdomain
Credential collection form on a newly created (unknown age) subdomain
Hosting on a free Vercel subdomain (shared‑hosting tenant)
Domain age information unavailable

Details

Page Title

Connexion

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

social media network

(54%)

Domain Information

The domain name 'www.faicbook.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'www.faicbook'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus four consonants. Splitting it apart reveals two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of api.qrserver.com

Page Load Overview

1.16s
Total Load Time
7
HTTP Requests
5
Domains
1 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
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
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1216.198.79.67United States
AS16509Amazon.com, Inc.
1192.178.183.94Google · CDNUnited States
AS15169Google LLC
164.29.17.3United States
AS16509Amazon.com, Inc.
195.216.163.127Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
164.29.17.67United States
AS16509Amazon.com, Inc.
77--

Page Statistics

7
Requests
5
Unique Domains
6.0 KB
Total Size

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:#3a6e78

Other Hashes

Crop Resistant:0408004d0c000c0c

Scan History

Scan history not available

Unable to load historical scan data