Security Scan Report: fb-meta-verified-48503.vercel.app

Redirected to:
https://fb-meta-verified-48503.vercel.app/privacy-/privacy-centers.htm...
Submitted: Sep 13, 2026, 12:45:35 AMCompleted: Sep 13, 2026, 12:47:48 AMpubliccompleted

This website contacted 8 IPs in 1 country across 4 domains to perform 25 HTTP transactions. The main domain is fb-meta-verified-48503.vercel.app and was registered 17 years ago.

Submitted URL: https://fb-meta-verified-48503.vercel.app/privacy-/

Effective URL:

https://fb-meta-verified-48503.vercel.app/privacy-/privacy-centers.htm...
Redirected

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Dormant/404 page on a vercel.app subdomain whose hostname impersonates Meta 'Verified' branding. No live forms or malware, but the deceptive domain signals phishing infrastructure — avoid.

Risk Factors (3)
Deceptive hostname imitating 'Meta Verified' (fb-meta-verified)
Brand impersonation of a different entity (Meta) on a non-official domain
Cloud-hosting subdomain of unknown creation age used in an actor-abused namespace
Domain age information unavailable

Details

Page Title

Meta | Privacy Centersecondary capture

Scan Type

public

Domain Name Analysis

The domain name 'fb-meta-verified-48503.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'fb-meta-verified-48503'. The core label 'vercel' covers 6 characters containing two vowels alongside 4 consonants. Splitting it apart reveals two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fb-meta-verified-48503.vercel.app/privacy-/

Page Load Overview

24.06s
Total Load Time
690 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:144 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical57% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
57%
government public service
36%
healthcare medical
35%
cryptocurrency blockchain
29%
news media journalism
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.131United States
AS16509Amazon.com, Inc.
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3216.198.79.195United States
AS16509Amazon.com, Inc.
364.29.17.195United States
AS16509Amazon.com, Inc.
3172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3151.101.193.229Fastly · CDNUnited States
AS54113Fastly, Inc.
258--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ADF0C09F4CD44C1521A065819CD5B03DCCC7441F0B5D0E61BCE910380FEC37EC4AB84A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7YvfAbpli7vkc4uYeLKT62Dmd5HFULKT6jVMlnFULKT6jVcFULB3QjVb4Q:hRjy7lLYnDSF6Yn6cFp2L/xLhVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:566:AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAAAAAAAABCCAAAAIAAAAAAAAABAAAAQAIACgAAAAAAAAAAAAAAAAAAAAAAA

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:8f87f7ffe3e1e1e3
Perceptual Hash:e5981c6398c3e7c3
Difference Hash:3a3e4e0c4a4a4b46
Wavelet Hash:838383e7e3e1e1e1
Color Hash:#bf7740

Scan History

Scan history not available

Unable to load historical scan data