Security Scan Report: www.very-check-thday.vercel.app

Redirected to:
https://very-check-thday.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 14 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.very-check-thday.vercel.app/

Effective URL:
https://very-check-thday.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Unranked vercel.app page impersonating Meta with a fake support/verification lure and a Telegram bot exfiltration script; no verified credential form, but brand impersonation plus exfiltration capability makes it high risk.

Risk Factors (5)
Impersonation of the Meta brand on a domain that is not Meta's official domain
Telegram bot token embedded in page script enabling exfiltration of submitted data
Fabricated support/verification narrative with a pseudo ticket id and 24-hour deadline
Unknown-age tenant on a free shared hosting platform (.vercel.app)
Unranked domain claiming affiliation with a major brand
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.very-check-thday.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'www.very-check-thday'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus 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://www.very-check-thday.vercel.app/

Page Load Overview

34.17s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,672 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
55%
documentation technical
52%
technology software
49%
corporate business
47%
social media network
47%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.102Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1142.251.157.119Google · CDNUnited States
AS15169Google LLC
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2514--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C922A226664002ABE83C1E2EDE1726D7446E2C7C72EC9E4BFCC1212BFD7DE604D6644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tdZOGwhL7OhRO4HM9Yojk/jQMwLAYRfhyUaO7Ry:tdZOzhnOhRDOYr/jWiUR7Ry

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20237:kgAMRbRwCgwNDlCInIIJgJhSYgmCgAAluIKKZKAMEAAAF1BSKJAABghCALLIkC8G0IAqyiQChCQVG4otaZwcDgQAAGFFGiBw

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:ffefffcfc7ffefff
Perceptual Hash:b131cec63139cec6
Difference Hash:0010001818001000
Wavelet Hash:30303000c0f0f0f0
Color Hash:#786a3a

Other Hashes

Crop Resistant:0010001818001000

Scan History

Scan history not available

Unable to load historical scan data