Security Scan Report: faicboook.vercel.app

Submitted: Aug 31, 2026, 12:45:28 PMCompleted: Aug 31, 2026, 12:47:48 PMpubliccompleted

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 (4)
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

Domain Name Analysis

You're looking at domain 'faicboook.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'faicboook'. The registrable portion 'vercel' spans 6 characters holding two vowels versus four consonants. It segments into 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://faicboook.vercel.app/

Page Load Overview

0.48s
Total Load Time
6 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
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1159.69.246.187Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
164.29.17.195United States
AS16509Amazon.com, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1216.198.79.195United States
AS16509Amazon.com, Inc.
195.216.163.127Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
66--

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:#862d37

Other Hashes

Crop Resistant:0408004d0c000c0c

Scan History

Scan history not available

Unable to load historical scan data