Security Scan Report: profile-session.vercel.app

Redirected to:
https://profile-session.vercel.app/accounts-center
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 1 country across 3 domains to perform 18 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

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

AI Security Verdict

Confirmed Scam

Confidence: 91%

9
Risk Score

Vercel-hosted page wearing Meta's favicon and 'Meta Verified / Accounts Center' branding to lure users into a fake blue-badge verification request; impersonation plus phishing threat-intel reports make this a scam.

Risk Factors (5)
Impersonation of Meta's verification program and Accounts Center branding on a domain it does not own
Meta favicon served from a non-Meta host
Phishing threat-intel reports against the primary domain
Lure offering a 'verified blue badge' and requesting submission of the victim's details
Untraceable shared-hosting subdomain of unknown age, unranked in Cisco Umbrella
Domain age information unavailable

Details

Page Title

Accounts Center | Meta Verified

Scan Type

public

Domain Name Analysis

Domain 'profile-session.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'profile-session'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. Splitting it apart reveals two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

8 Meta Verified: Enhancing Your Professional Identity Strengthen your brand's credibility and demonstrate a clear commitment to professionalism and trust. Congratulations on successfully meeting the...

Page Load Overview

4.06s
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

government public service31% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
234.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
187--

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:N/A

Other Hashes

Crop Resistant:96969c960e4d100c

Scan History

Scan history not available

Unable to load historical scan data