Security Scan Report: www.faicboook.vercel.app

Redirected to:
https://faicboook.vercel.app/
Submitted: Sep 1, 2026, 12:45:38 AMCompleted: Sep 1, 2026, 12:48:59 AMpubliccompleted

Summary

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

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

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

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Page impersonates Meta and harvests credentials via a login form on an unknown‑age Vercel subdomain; treat as high‑risk phishing.

Risk Factors
Brand impersonation of a well‑known entity
Credential collection form on unknown‑age subdomain
Unranked domain in Cisco Umbrella
Potential typosquatting (faicboook vs facebook)
Domain age information unavailable

Details

Page Title

Connexion

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

social media network

(54%)

Domain Information

Within the application-focused generic top-level domain (.app), 'www.faicboook.vercel.app' is registered and includes subdomain 'www.faicboook'. Count 6 characters in 'vercel' with 2 vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of api.qrserver.com

Page Load Overview

9.05s
Total Load Time
8
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
2185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1195.201.128.178Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
1216.198.79.3United States
AS16509Amazon.com, Inc.
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1216.198.79.195United States
AS16509Amazon.com, Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
164.29.17.3United States
AS16509Amazon.com, Inc.
87--

Page Statistics

8
Requests
5
Unique Domains
6.0 KB
Total Size

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:#532dd2

Other Hashes

Crop Resistant:0408004d0c000c0c

Scan History

Scan history not available

Unable to load historical scan data