Security Scan Report: g4-valley.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 3 domains to perform 10 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://g4-valley.vercel.app/

AI Security Verdict

Low Risk

Confidence: 55%

2
Risk Score

Self-branded G4 Valley 2026 event e-ticket page on a free vercel.app subdomain. Only an email field, no password/payment capture, and no threat-intel, YARA or data-exfiltration evidence — low risk, but the event/operator is unverified.

Risk Factors (2)
Email-collection form on an unranked, unknown-age free hosting subdomain — tickets/event branding not tied to a verified official domain
No independent legitimacy verification of the claimed event or operator
Safety Factors (5)
Self-branding: title and meta tags match the site's own domain name (no third-party brand impersonation)
No password, payment or card fields, so no credential or financial data capture
No Indicators of Compromise, no YARA malware, no malicious kit, no cross-origin credential exfiltration
HTTPS served page with a stated physical address (São Paulo)
Content (Brazilian event e-ticket retrieval in Portuguese) reads as a normal event portal
Domain age information unavailable

Details

Page Title

G4 Valley 2026 — Ingresso Digital Oficial

Scan Type

public

Domain Name Analysis

Domain 'g4-valley.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'g4-valley'. The registrable portion 'vercel' spans 6 characters with two vowels and 4 consonants. Segmentation suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://g4-valley.vercel.app/

Page Load Overview

1.21s
Total Load Time
421 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:27%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:429 chars
Detector Agreement:50%
Language mismatch: Declared as en but detected as pt

Website Classification

Primary Category

government public service82% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
82%
entertainment media
75%
news media journalism
67%
real estate property
61%
technology software
48%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.131Aws · CLOUDUnited States
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2142.251.14.95Google · CDNUnited States
AS15169Google LLC
2142.250.154.94Google · CDNUnited States
AS15169Google LLC
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
104--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5A2B444701C12386D3FAB64FEC8A72C9025B542EEA74426B10D149BE6D3FF539FAB94

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:f2c5O8U5Q6nBOmEAUU/cxksc64Jysq7vG8kkP02YY:fvsnB7cxksc64Jysq7vG81P02YY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21529:gwAIlBHDMAzxkAGNEiOYgEBVRSERAAAILQAIwAUKDAAKAaWBZDAAuCBAFlCpKUBJMJArDOzA2AUBHC6LgkEIYjIDFwFEGQMx

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:5c3c3d1f01001818
Perceptual Hash:888b547230b9dbcf
Difference Hash:91e171336b093333
Wavelet Hash:7f7f3f3f03001818
Color Hash:#79d2b5

Other Hashes

Crop Resistant:91e171336b093333

Scan History

Scan history not available

Unable to load historical scan data