Security Scan Report: v0-superoddth2.vercel.app

Site favicon
Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 8 domains to perform 39 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://v0-superoddth2.vercel.app/

AI Security Verdict

Low Risk

Confidence: 62%

3
Risk Score

Low-content v0 preview page promoting a betting odd, with no forms, no impersonation and no threat-intel hits. Unverified betting content from an unaccountable host, but nothing malicious on the page itself.

Risk Factors (2)
Unverifiable sports-betting promotion with no identifiable operator, licence or bookmaker behind it
Hosted on a shared platform subdomain of unknown creation date, so the page cannot be attributed to any accountable business
Safety Factors (5)
No forms of any kind; no credential, email or payment field present
No external credential exfiltration and no cross-origin form submission
No brand impersonation — the page does not present itself as a bookmaker or any other organisation
No malware, no obfuscated JS, no threat-intelligence matches against the page or its resources
Static single-purpose content with no interactive funnel
Domain age information unavailable

Details

Page Title

v0 App

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'v0-superoddth2.vercel.app' is registered with subdomain 'v0-superoddth2'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and four consonants. It segments into two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

a. ODD 10 PRA PELO MENOS 1{ GOL NA PARTIDA PALMEIRAS CORINTHIANS Apostas envolvem riscos. Jogue com responsabilidade. +18

Page Load Overview

3.16s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:41%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:157 chars
Detector Agreement:67%
Language mismatch: Declared as en but detected as pt

Website Classification

Primary Category

gambling betting96% confidence
Type: spa
Method: ml+structural

All Detected Categories

gambling betting
96%
adult content
91%
news media journalism
62%
government public service
47%
technology software
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3185.15.59.240United States
AS14907Wikimedia Foundation Inc.
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
3157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
334.143.78.2Google · CDNUnited States
AS396982Google LLC
335.174.99.215Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3910--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T127E2311A5C42F8E1BAB61E8478776C36148E911FE9B7BFFC8188C530355C87909D38AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2fTMrunR95/R95XR953R95RR95HR955iQFVFz+ve3XC8ciinRFLUZ5NNB/5b:2fTMruRtVVHlrFVMvIXRcio3UZ5NNBhb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34176:ChYcEqxYBV5CEIEQAAkBIQwoZYVqEcLBaVBICgGpBVNWgCEjQwEKhghNAGQCUQ3KkMIJYhEhdAY8KCRcsRjuhAAIIQoQpkIY

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:00003c3c7eff7f00
Perceptual Hash:8c7630f966a6d991
Difference Hash:6df0f0e8f0f2f0f0
Wavelet Hash:00003c3cffff7f08
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data