Security Scan Report: verifiedbadge-lunelle.vercel.app

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Submitted: Sep 20, 2026, 12:45:36 PMCompleted: Sep 20, 2026, 12:46:34 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Fake 'Meta Verified' rewards/invoicing page impersonating Meta on a free vercel.app subdomain, using fabricated ticket IDs and a 'Submit request' lure — brand impersonation scam.

Risk Factors
Impersonation of Meta's brand on a domain that is not Meta's official domain
Free hosting-platform subdomain (vercel.app) with unknown creation age used for a branded phishing-style page
Fabricated ticket IDs and a bogus 'advertiser invoicing / blue badge verification' offer designed to deceive
Indexed under the platform's attacker-abused namespace (ET TA_ABUSED_SERVICES alerts for vercel.app)
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

The domain name 'verifiedbadge-lunelle.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'verifiedbadge-lunelle'. The registrable portion 'vercel' spans 6 characters with 2 vowels and 4 consonants. Word splitting yields 2 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://verifiedbadge-lunelle.vercel.app/meta-verified-for-business

Page Load Overview

7.11s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,561 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
39%
government public service
30%
social media network
27%
documentation technical
26%
corporate business
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
964.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.139Google · CDNUnited States
AS15169Google LLC
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.20.101Google · CDNUnited States
AS15169Google LLC
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.152.119Google · CDNUnited States
AS15169Google LLC
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
179--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9F09E4B5DF0842A1240A3A19DC1F13AC8C7C85F5F1C9E0179E904382FA4E56949746D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7YvfAbpli7vkcSYK9U3ZW1LF/GLBrAMMJAj/LWZL8g0qQj/LWPLKT6jV2p:hRjy7lSJSIJF/zwKx0hjKtiOL/xLhVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:517:AAACAgAIAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAIAAAAAAAAgAAAAAAAAAAAAAAAAACgAAABAQAEgAAAAAAAAAAAAAA

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:c7c7f7c7c7ffffff
Perceptual Hash:b131cec231ccced3
Difference Hash:9c1c049c9ca01000
Wavelet Hash:c1c38303063d7bf7
Color Hash:#93401f

Other Hashes

Crop Resistant:9c1c049c9ca01000

Scan History

Scan history not available

Unable to load historical scan data