Security Scan Report: www.profile-session.vercel.app

Redirected to:
https://profile-session.vercel.app/accounts-center
Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 1 country across 4 domains to perform 19 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.profile-session.vercel.app/

Effective URL:
https://profile-session.vercel.app/accounts-center
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Non-Meta domain (vercel.app) presents itself as Meta's official Accounts Center/Meta Verified portal, even serving Meta's favicon; OG site name admits it is a 'clone'. Classic brand impersonation.

Risk Factors (5)
Brand impersonation of Meta on a non-Meta domain, with Meta's favicon served
Page claims to be Meta's official Accounts Center / verification procedure
OG site name admits the page is an 'Accounts Center Clone'
Unranked, unknown-age subdomain under a free/shared hosting platform (vercel.app)
Verification-themed copy designed to solicit user applications and email contact
Domain age information unavailable

Details

Page Title

Accounts Center | Meta Verified

Scan Type

public

Domain Name Analysis

The domain name 'www.profile-session.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.profile-session'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.profile-session.vercel.app/

Page Load Overview

9.64s
Total Load Time
262 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,562 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
334.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
364.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
196--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14172A4B26805DD0EAD6B5D19A43EBC3E608CC16FC715D96881DCC9780AC3879ABD7EC1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2JeEuIvN799pzjVk/AYWMBLq9fkFeCXbEUDnU6:2JeEuI15HH9fxCrEUDnU6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16474:yxygD0kmISQQCrQAzvNDoYQBBpSQoJi4D3ARUgANAAAIaWQEwY6SjQNEGAAlha7BBB0EgFULZIYp0B+SXDhIQAIorZ7HhyKL

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:c3c3cfc3c7e7fff7
Perceptual Hash:f030cc6775999393
Difference Hash:96969c960e4d100c
Wavelet Hash:c3c3c3c3c3e6f8c0
Color Hash:#2d3c86

Other Hashes

Crop Resistant:96969c960e4d100c

Scan History

Scan history not available

Unable to load historical scan data