Security Scan Report: facebook-bay.vercel.app

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Submitted: Sep 10, 2026, 2:45:07 PMCompleted: Sep 10, 2026, 2:46:18 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

Page impersonates Facebook, collects login credentials, and is flagged by Google Safe Browsing – treat as high‑risk phishing.

Risk Factors
Brand impersonation on unknown‑age subdomain
Credential collection forms
Google Safe Browsing social‑engineering warning
Unranked domain lacking reputation
Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Domain Name Analysis

The domain 'facebook-bay.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'facebook-bay'. Count 6 characters in 'vercel' split between two vowels and four consonants. Splitting it apart reveals two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://facebook-bay.vercel.app/

Page Load Overview

2.02s
Total Load Time
114 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,324 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network82% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
82%
adult content
46%
news media journalism
40%
healthcare medical
35%
education learning
32%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.3United States
AS16509Amazon.com, Inc.
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.217.208.95Google · CDNUnited States
AS15169Google LLC
3216.198.79.3United States
AS16509Amazon.com, Inc.
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
165--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D422412990F4182752438090B9A0AE1BAF92D207CA3B055436FC17A97F9BD47C99B7AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Tc9nw9EsK1p2unbxbdnbf0b8btwebGtwIiwxYtpqysd+YIbRJKz:49n5VL1LbfFUUSsYIVMz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10127:+GFHKKRsbkAwRAAwzWoIPiAAGAUZFUsUgAFQAABIREDwkCSBwdoQUFAFA0hKSJKIiUTkABH8q4XDgNBNmZzAIIgEIAicECxA

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:ffffff9193fbffff
Perceptual Hash:ed92926d6d729291
Difference Hash:00039c2732d60800
Wavelet Hash:0c0c0e000a10ffff
Color Hash:#3c783a

Other Hashes

Crop Resistant:00039c2732d60800

Scan History

Scan history not available

Unable to load historical scan data