Security Scan Report: v0-superoddth2.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 8 domains to perform 35 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

Moderate Risk

Confidence: 65%

4
Risk Score

Anonymous v0.app page promotes betting odds for Palmeiras–Corinthians with a +18 notice; no forms, malware, or impersonation found. Treat as unverified gambling content.

Risk Factors (4)
Promotes fixed-odds betting without identifying a licensed operator or jurisdiction.
Hosted on an anonymous free v0.app subdomain with no ownership or licensing details.
Promotional odds claim may encourage high-risk gambling behavior.
Content classifier flags gambling/betting with high confidence.
Safety Factors (5)
Displays +18 and responsible gambling warning.
No credential, password, or payment form is present.
No Indicators of Compromise or JavaScript malware patterns detected.
No brand impersonation of Palmeiras, Corinthians, or another entity.
No cross-origin credential exfiltration detected.
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, featuring subdomain 'v0-superoddth2'. Count 6 characters in 'vercel' with 2 vowels and four consonants. Splitting it apart reveals two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://v0-superoddth2.vercel.app/

Page Load Overview

3.47s
Total Load Time
1.6 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
864.29.17.67Aws · 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.
3142.251.110.97Google · 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.
334.143.74.2Google · CDNUnited States
AS396982Google LLC
33.209.44.102Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3510--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D8D274196C42F8D1FA761D8868776D36148E912FD9B7AEFC91C8CA30365CC790DC389A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2fTMru5cP8ctczcuiQFVFz+ve3XC8ciinRFLUZ5NN/:2fTMrua1GgaFVMvIXRcio3UZ5NN/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28788:BJBIwGDADZsSCEKxgOCBH1NQjJYGMAEc0tOicYgCODB8AHTkUUCEdIxAASwmGKQRAKAIUGJGoAAgEYDBAFo2IRWEYoBPERek

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:8c5e30f966a6d991
Difference Hash:6df0f068f0f2e0f0
Wavelet Hash:00003c3cffff7f08
Color Hash:#79a4d2

Scan History

Scan history not available

Unable to load historical scan data