Security Scan Report: www.facbookapp.vercel.app

Redirected to:
https://facbookapp.vercel.app/
Submitted: Aug 30, 2026, 12:45:03 PMCompleted: Aug 30, 2026, 12:46:11 PMpubliccompleted

Summary

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

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

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page hosts a Meta login form on an unranked Vercel subdomain, indicating credential phishing.

Risk Factors
Credential collection form on unranked subdomain
Brand impersonation of Meta on unrelated domain
Unknown creation date of subdomain (potentially new)
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.facbookapp.vercel.app' is registered; it also runs on subdomain 'www.facbookapp'. The second-level label 'vercel' is 6 characters long with two vowels and 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.22s
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.
188.99.85.235Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
164.29.17.67United States
AS16509Amazon.com, Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
1216.198.79.195United States
AS16509Amazon.com, Inc.
1216.198.79.67United 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:#7d40bf

Other Hashes

Crop Resistant:0408004d0c000c0c

Scan History

Scan history not available

Unable to load historical scan data