Security Scan Report: www.profile-review-red.vercel.app

Redirected to:
https://profile-review-red.vercel.app/
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Submitted: Sep 23, 2026, 12:45:28 AMCompleted: Sep 23, 2026, 12:47:00 AMpubliccompleted

This website contacted 16 IPs in 1 country across 12 domains to perform 26 HTTP transactions. The main domain is profile-review-red.vercel.app and was registered 13 years ago.

Submitted URL: http://www.profile-review-red.vercel.app/

Effective URL:

https://profile-review-red.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 74%

7
Risk Score

Page impersonates Meta with a fake 'Meta Verified' blue-badge lure on a throwaway vercel.app subdomain. No live credential form captured, but brand impersonation and social-engineering intent make it unsafe.

Risk Factors
Impersonation of Meta's brand on a non-Meta domain
Fake 'Meta Verified' blue badge verification lure with ticket ID
Hosted on an anonymously-published shared hosting subdomain of unknown age
Collects user details (4 email/username fields) under the guise of a verification request
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.profile-review-red.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'www.profile-review-red'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside 4 consonants. Splitting it apart reveals two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

18.51s
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 content52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
52%
documentation technical
49%
corporate business
44%
technology software
42%
social media network
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.139Google · CDNUnited States
AS15169Google LLC
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.102Google · CDNUnited States
AS15169Google LLC
1172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2616--

Detected Technologies3

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:ffffffcfcfffffff
Perceptual Hash:b131cec63131cece
Difference Hash:0010001a1a001000
Wavelet Hash:f0f0f0c0c0f0f0f0
Color Hash:#533a78

Other Hashes

Crop Resistant:0010001a1a001000

Scan History

Scan history not available

Unable to load historical scan data