Security Scan Report: verifiedbadge-axel.vercel.app

Submitted: Sep 17, 2026, 1:45:05 AMCompleted: Sep 17, 2026, 1:45:27 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Fake 'Meta Verified' reward page on a vercel.app subdomain impersonating Meta to trick users into submitting account information for a bogus blue badge — brand impersonation phishing.

Risk Factors (5)
Impersonation of a different entity's brand (Meta Verified) on a domain that is not Meta's official domain
Fabricated verification-reward / blue-badge claim designed to harvest user information
Hosted on an instant-publishing platform subdomain with unknown creation date
Unranked domain misrepresenting itself as an official Meta program
Email/username collection form paired with an urgency-laden 'request verification' narrative
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

You're looking at domain 'verifiedbadge-axel.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'verifiedbadge-axel'. The registrable portion 'vercel' spans 6 characters with 2 vowels and 4 consonants. Segmentation suggests two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://verifiedbadge-axel.vercel.app/privacy-centers.html

Page Load Overview

1.68s
Total Load Time
455 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,664 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
59%
adult content
54%
government public service
50%
documentation technical
47%
news media journalism
46%

Detected Features

Search

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.
1142.250.154.101Google · CDNUnited States
AS15169Google LLC
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.138Google · CDNUnited States
AS15169Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2113--

Detected Technologies5

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:c7c3c3c3e7ffffff
Perceptual Hash:b371d8c63298cce6
Difference Hash:9c9e979e0d0c35ca
Wavelet Hash:c4c1c1c3c3871f3f
Color Hash:#783a5d

Other Hashes

Crop Resistant:9c9e979e0d0c35ca

Scan History

Scan history not available

Unable to load historical scan data