Security Scan Report: informationupdatecenter-verified.vercel.app

Submitted: Completed: publiccompleted
This website contacted 13 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

You're looking at domain 'informationupdatecenter-verified.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'informationupdatecenter-verified'. The core label 'vercel' covers 6 characters holding 2 vowels versus four consonants. Tokenizing the label suggests 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/privacy-centers.html

Page Load Overview

0.74s
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
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
964.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.139Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1142.251.151.119Google · CDNUnited States
AS15169Google LLC
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.100Google · CDNUnited States
AS15169Google LLC
2113--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152821A225228002ABE83C1D2ECE172697446E2C7D72AD9F4FFCD1212BFD7DE604DA644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:uO0ChL7OhRO4HoiY0R/H9wLAYaroUa878y:uORhnOhRDnY0R/HKpUf78y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19020:EYNgo4sB0CZ2AhMICwGIRSIUogCSoSAAFOIACFAEASkmkGc1gAGKaCgEgBCkFEjRqAISNghQCANE6QIFAiFE7AAm0CQCFYOE

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:#652d86

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data