Security Scan Report: www.verication-casefb328.vercel.app

Redirected to:
https://verication-casefb328.vercel.app/
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Submitted: Completed: publiccompleted
This website contacted 16 IPs in 1 country across 12 domains to perform 25 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.verication-casefb328.vercel.app/

Effective URL:
https://verication-casefb328.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake 'Meta Verified' blue-badge/invoicing page on a typosquatted vercel.app subdomain, mimicking Meta's brand with a Telegram-token exfiltration script. No genuine Meta affiliation — do not engage.

Risk Factors (5)
Impersonation of Meta's brand on a non-Meta, unranked domain
Typosquat-style hostname impersonating a 'verification case' for Facebook/Meta
Telegram bot token embedded in page script enabling exfiltration of collected data to a third party
Fabricated ticket ID and 'Blue Badge verification' workflow typical of a Meta verification / advance-fee scam
Hosted on shared .vercel.app subdomain with unknown creation date and no reputation
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'www.verication-casefb328.vercel.app' is registered, featuring subdomain 'www.verication-casefb328'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. Word splitting yields 2 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://www.verication-casefb328.vercel.app/

Page Load Overview

3.10s
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%
government public service
43%
technology software
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.101Google · CDNUnited States
AS15169Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
2516--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4921A225664012AFE83C0E1ECE173697546E2C7C72AC9E5BFCD1212BFD7DE604D6644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:JdZO04hhL7OhRO4HMiYojk/j0wLAYsw4UaQ7Fy:JdZOBhnOhRDbYr/jJ4UT7Fy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20262:kYUZgcimJQQBEISIWlVqpLFCAwsCAishrZIjCZAKlcBCESFZGAHtHTtUNCNGAoD4FdwAdkFDzAILMwCRTQoIAikOEbRqlEBh

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:#8c40bf

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data