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

Submitted: Sep 9, 2026, 12:45:09 AMCompleted: Sep 9, 2026, 12:46:20 AMpubliccompleted

Summary

This website contacted 13 IPs in 1 country across 10 domains to perform 2 HTTP transactions. The main domain is fb-meta-verified-48503.vercel.app and was registered 13 years ago.

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The page impersonates Meta but lacks credential collection; treat as moderate‑risk phishing attempt.

Risk Factors
Brand impersonation of Meta on an unranked hosting subdomain
Unknown subdomain age (potentially brand‑new)
Hosting on a shared platform (vercel.app) without reputation
Safety Factors
Legal pages (terms/privacy) are present
No password, payment, or hidden credential fields
No malicious IoCs, YARA detections, or network alerts
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(51%)

Domain Information

Domain 'fb-meta-verified-48503.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'fb-meta-verified-48503'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside four consonants. Word splitting yields two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.97s
Total Load Time
21
HTTP Requests
10
Domains
313 KB
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:1,690 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
51%
documentation technical
47%
corporate business
43%
technology software
43%
government public service
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.3United States
AS16509Amazon.com, Inc.
1192.178.183.101Google · CDNUnited States
AS15169Google LLC
1172.217.119.4Google · CDNUnited States
AS15169Google LLC
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.3United States
AS16509Amazon.com, Inc.
1142.251.155.119Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
2113--

Page Statistics

21
Requests
10
Unique Domains
454.5 KB
Total Size

Detected Technologies5

Cloudflare
50%
Vercel
40%
HSTS
40%
Tailwind CSS
30%
cdnjs
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16DE0688F4CE0885912A0A6569DD1F02D9D8B890F5B5D5E01BCE921780FADB6A889788A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7YvfAbpli7vkcSYK9U3rLB3QjVb4VwULKT6jV2FOhrF/xvjVvVuB9d:hRjy7lSJS+ptciOL/xLhVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:4cc42bd8c3ec07b58330cfb94e3ce1f8

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:c7c7c3c3e7ffffff
Perceptual Hash:b37198ce269cccc6
Difference Hash:9c9f9f8e4d324dca
Wavelet Hash:c4c0c1c3c70f1f3f
Color Hash:#2d8662

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data