Security Scan Report: www.facebook-clone-bappa-git.vercel.app

Redirected to:
https://facebook-clone-bappa-git.vercel.app/
Submitted: Jul 14, 2026, 1:45:11 PMCompleted: Jul 14, 2026, 1:46:20 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is facebook-clone-bappa-git.vercel.app and was registered NaN years ago.

Submitted URL: http://www.facebook-clone-bappa-git.vercel.app/

Effective URL: https://facebook-clone-bappa-git.vercel.app/Redirected

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site mimics Facebook but lacks credential collection; treat as moderate risk due to brand impersonation and unknown subdomain age.

Risk Factors
Brand impersonation on an unranked subdomain
Unknown subdomain age (could be newly created)
Hosting on a generic platform (.vercel.app) without reputation
Safety Factors
Physical address visible on site
No forms collecting credentials or payments
No malicious JavaScript or external threat‑intel matches
Domain age information unavailable

Details

Page Title

facebook

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(63%)

Domain Information

Domain 'www.facebook-clone-bappa-git.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.facebook-clone-bappa-git'. Count 6 characters in 'vercel' holding 2 vowels versus four consonants. Tokenizing the label suggests two 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.facebook-clone-bappa-git.vercel.app/

Page Load Overview

1.63s
Total Load Time
48
HTTP Requests
3
Domains
2.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,509 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network63% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
63%
adult content
44%
news media journalism
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16216.198.79.131United States
AS16509Amazon.com, Inc.
1664.29.17.3United States
AS16509Amazon.com, Inc.
16104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
483--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17BC2FF7A55F951A7048A91946AA29B4B3FC2E70BC94F9E1433FD1BC91FC7C86CC63209

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:mQzCuoCBfOg/7sF/7kd/7hS/7V4/7V5/7VddNFUTgFAXTtVcR:lzHouZjAjwjkjCj/jd/U5tVE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25979:FgwIkuC7xhATERULYxUyoDIKZQBLqEDGDSAJGhAOAjCIJweVogACOoGlohIEynEUEGeqRMNMEY0YFCTBX8wLIAI6HoYqQEBl

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:bc3c381830303030
Perceptual Hash:ce99cee638663066
Difference Hash:7078686060666665
Wavelet Hash:bf3e3e3e38323030
Color Hash:#65783a

Scan History

Scan history not available

Unable to load historical scan data