Security Scan Report: advertisinganddevelopmentcenter.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 19 IPs in 1 country across 11 domains to perform 24 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://advertisinganddevelopmentcenter.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake Meta 'Verified' page on a vercel.app subdomain using a ticket-id lure to collect user details, with a script that forwards submissions to a Telegram bot. Impersonation plus exfiltration channel — do not submit anything.

Risk Factors (5)
Impersonation of Meta's brand on a non-Meta domain (vercel.app subdomain)
Telegram bot token in page script enables exfiltration of submitted data to a third party
Fabricated ticket id and 'blue badge verification' workflow pressuring users to submit personal details
Email/username collection fields with no legitimate business purpose on an unrelated hosting subdomain
Hosting platform subdomain of unknown age, unranked in Cisco Umbrella, flagged by IDS as actor-abused hosting
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

Domain 'advertisinganddevelopmentcenter.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'advertisinganddevelopmentcenter'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and four consonants. It segments into two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://advertisinganddevelopmentcenter.vercel.app/

Page Load Overview

1.06s
Total Load Time
1.7 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%
technology software
42%
government public service
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.100Google · CDNUnited States
AS15169Google LLC
1142.251.154.120Google · CDNUnited States
AS15169Google LLC
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
1142.251.157.119Google · CDNUnited States
AS15169Google LLC
2419--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118922A225664002AFE83C0E1ECE273697446E2C7C72AD9E5BFCC1212BFD7DE604DA644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:JdZOhhL7OhRO4HMiYojk/jVwLAYsw4UaQ7Fy:JdZOhhnOhRDbYr/ji4UT7Fy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20262:GAVZhw+mJARTRAAIWl0bAOR1BxJARicEBYE3YYhGERQEEWFQCIFVHzpQli0BgAI5AJwCclFDiQQKMgQaTAqIpiEEEJR6NgDo

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:#b7bf40

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data