Security Scan Report: www.verifiedbadge-elyra.vercel.app

Redirected to:
https://verifiedbadge-elyra.vercel.app/
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Submitted: Sep 19, 2026, 12:45:30 PMCompleted: Sep 19, 2026, 12:46:14 PMpubliccompleted

This website contacted 16 IPs in 1 country across 11 domains to perform 24 HTTP transactions. The main domain is verifiedbadge-elyra.vercel.app and was registered 13 years ago.

Submitted URL: https://www.verifiedbadge-elyra.vercel.app/

Effective URL:

https://verifiedbadge-elyra.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Fake Meta 'Verified' page on a free vercel.app subdomain impersonating Meta's blue-badge programme. No credential form captured, but brand impersonation alone makes it high risk.

Risk Factors
Brand impersonation of Meta on a non-Meta domain
Deceptive verification/billing lure with fake support ticket IDs
Instant, unranked free-hosting subdomain (vercel.app) with no attributable age
Pressuring '24 hours' processing language typical of phishing kits
No legitimate business identity or contact details behind the Meta branding
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

The domain 'www.verifiedbadge-elyra.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.verifiedbadge-elyra'. The second-level label 'vercel' is 6 characters long split between 2 vowels and 4 consonants. Word splitting yields 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.verifiedbadge-elyra.vercel.app/

Page Load Overview

1.99s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,690 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

adult content
51%
documentation technical
46%
corporate business
44%
technology software
43%
government public service
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.113Google · CDNUnited States
AS15169Google LLC
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.102Google · CDNUnited States
AS15169Google LLC
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2416--

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:c7c7c3c3c7ffffff
Perceptual Hash:b371cc8e339ccc86
Difference Hash:9c9e1e9e0d320c49
Wavelet Hash:c4c0c1c3c38f1f3f
Color Hash:#342d86

Other Hashes

Crop Resistant:9c9e1e9e0d320c49

Scan History

Scan history not available

Unable to load historical scan data