Security Scan Report: informationupdatecenter-verified.vercel.app

Submitted: Completed: publiccompleted
This website contacted 14 IPs in 1 country across 10 domains to perform 21 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://informationupdatecenter-verified.vercel.app/privacy-centers.html

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake 'Meta Verified' page on a throwaway vercel.app subdomain using Meta branding, a bogus verification/results-request lure and a Telegram bot token to exfiltrate submitted data. Impersonation + exfiltration channel = confirmed scam.

Risk Factors (5)
Impersonation of Meta (different entity's brand) on a non-official, unranked vercel.app subdomain
Telegram bot token embedded in page script — credential/lead exfiltration channel
Fabricated verification workflow with urgency ('typically takes 24 hours') and requests for personal details
Typos and unnatural phrasing throughout the supposed Meta notice
Hosted on a free/shared platform subdomain whose real creation date is unknown
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

The domain 'informationupdatecenter-verified.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'informationupdatecenter-verified'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and 4 consonants. It segments into two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://informationupdatecenter-verified.vercel.app/privacy-centers.html

Page Load Overview

11.89s
Total Load Time
456 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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

Website Classification

Primary Category

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

All Detected Categories

adult content
51%
documentation technical
47%
corporate business
44%
government public service
43%
technology software
43%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
864.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.127.101Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1142.251.154.119Google · CDNUnited States
AS15169Google LLC
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.14.139Google · CDNUnited States
AS15169Google LLC
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
2114--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1558219225224042ABE83C5D2E8E172697446E2C7DB2AD9F5FFCC1212BFDBDE604D6644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:uO0ihL7OhRO4HoiYz/HcwLAYRfhyUaO7Jy:uOXhnOhRDnYz/HxiUR7Jy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19048:ABsShgkrgJTIUAKZ0iUpZC5L7iChBaBAkoqCbhQCEBESAAMXAAKYEQFUKqSnjAQyHPCAIC+eIAgGFAwRUAApkCWEIKBLUMzU

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:c7c7c3c3e7ffffff
Perceptual Hash:b37198ce269cccc6
Difference Hash:9c9f9f8e4d324dca
Wavelet Hash:c4c0c1c3c70f1f3f
Color Hash:#d0e06c

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data