Security Scan Report: informationupdatecenter-verified.vercel.app

Redirected to:
https://informationupdatecenter-verified.vercel.app/privacy-centers.ht...
Submitted: Completed: publiccompleted
This website contacted 13 IPs in 1 country across 11 domains to perform 45 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://informationupdatecenter-verified.vercel.app/

Effective URL:
https://informationupdatecenter-verified.vercel.app/privacy-centers.ht...
Redirected

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 name 'informationupdatecenter-verified.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'informationupdatecenter-verified'. Count 6 characters in 'vercel' with two vowels and 4 consonants. Word splitting yields 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

30.03s
Total Load Time
1.3 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 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
9216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.14.113Google · CDNUnited States
AS15169Google LLC
3142.251.127.94Google · CDNUnited States
AS15169Google LLC
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
4513--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T138D2846421F1047B295381F1A9E09F8ABE9AF783CB1BC955B3ED06116FC7C829C87318

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XjO6hL7oVs80zgbWYm+WbQh1kcfY1OmDdFVUZ/f8UR4R8ENqc:XjO6hnoq80zg7m+WbQhNQT/GRC89c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30298:J5LEQwEimAoMBAoEABCCIRjmBZBAhkEUiBiIoDARAQMj4FOCCohDPlkEgskc5QD7BgXFiMRigQwgiAcCICAFCggQGERwDMMw

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:8f87ffe3e3e3e3e3
Perceptual Hash:e5989c636392c3c7
Difference Hash:3e3e4e0a4a4b4242
Wavelet Hash:8383c3e3e1e1e3e1
Color Hash:#71bf40

Scan History

Scan history not available

Unable to load historical scan data