Security Scan Report: vbzq63fanm-h01m.vercel.app

Redirected to:
https://vbzq63fanm-h01m.vercel.app/10025078036/hsg5hwabt3bgfdsht5dfA.h...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 8 IPs in 1 country across 4 domains to perform 19 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://vbzq63fanm-h01m.vercel.app/

Effective URL:
https://vbzq63fanm-h01m.vercel.app/10025078036/hsg5hwabt3bgfdsht5dfA.h...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake Meta 'Privacy Center' on a vercel.app subdomain threatening ad-account deletion while harvesting names, emails, phone numbers, passwords and email/phone verification codes — a credential/OTP phishing page impersonating Meta.

Risk Factors (6)
Impersonation of Meta's Privacy Center / Advertising Standards brand on a non-Meta hosting-platform subdomain
Credential and OTP harvesting form (password field plus email, phone and verification-code requests)
Account-deletion threat used as urgency/coercion
Hosting on a shared platform namespace (.vercel.app) with unknown subdomain creation date
External IP-lookup call to ipapi.co from page scripts
Domain not ranked in Cisco Umbrella top 1M
Domain age information unavailable

Details

Page Title

Meta Advertising Standards

Scan Type

public

Domain Name Analysis

The domain 'vbzq63fanm-h01m.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'vbzq63fanm-h01m'. Count 6 characters in 'vercel' holding 2 vowels versus 4 consonants. Tokenizing the label suggests two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vbzq63fanm-h01m.vercel.app/

Page Load Overview

0.92s
Total Load Time
402 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:vi
Text Length:4,012 chars
Detector Agreement:100%
Language mismatch: Declared as vi but detected as en

Website Classification

Primary Category

social media network57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
57%
technology software
37%
documentation technical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
564.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.21.31.228Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.180.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
198--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D55384B252F8227F506382C1AA275B0A3BE6E997E622456573BD17B41FE7CD3F807014

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:NJ2lCHX1gWFinXN9gJlYKH+qpBaDQl13qF2hXjh:f/NH+qpUDQl13dh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62737:REIJKISAAviREDYZGQeWGSmrslCAwAG8iKAFRhGARAAZE5GR6oqAjzZiIlEdRiwQFaAiICBFzJGEEBgIEDHwIyhsIjJJDLdC

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:e78783e3efefefef
Perceptual Hash:b43c30c3c3c7c7c5
Difference Hash:0e3e260e090a0a0b
Wavelet Hash:a6828283e3e3e3e7
Color Hash:#e0856c

Other Hashes

Crop Resistant:0e3e260e090a0a0b

Scan History

Scan history not available

Unable to load historical scan data