Security Scan Report: artsfestivalvirginia.vercel.app

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Submitted: Feb 26, 2026, 3:07:05 PMCompleted: Feb 26, 2026, 3:08:17 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is artsfestivalvirginia.vercel.app and was registered NaN years ago.

Submitted URL: https://artsfestivalvirginia.vercel.app/

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate event site with low risk; no malicious activity detected.

Safety Factors
Absence of credential or payment collection forms
Clean JavaScript with no malware signatures
No redirects or cross‑origin credential submissions
Content appears to be a legitimate arts festival event page
Domain age information unavailable

Details

Page Title

Virginia Arts Festival | People's Choice Awards

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'artsfestivalvirginia.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'artsfestivalvirginia'. The core label 'vercel' covers 6 characters with two vowels and 4 consonants. It segments into 2 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://artsfestivalvirginia.vercel.app/

Page Load Overview

0.93s
Total Load Time
24
HTTP Requests
1
Domains
1.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,035 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2464.29.17.67United States
241--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17DD29538B205F92A79134A6AF171BF7D549DC76FC957986CF3A8C28617C2CB04F82684

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LxQSqosquJeTGCz5JtcLnOaSaifacajma0auaMMa7eetc:7aCz5hnQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29646:wXIAUaYACB0MgnBJCJ04AMh2tYcRgAuGQkQMScBU4IzJMJFU0CkGDhSZGkzkAASNJARNAIIkBILoEIIuIRgoGBTtghA6wSGA

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:fff3d1d1f1b1f3ff
Perceptual Hash:ec64939b90963e65
Difference Hash:8007272727232320
Wavelet Hash:7ef191818191f19f
Color Hash:#c58799

Scan History

Scan history not available

Unable to load historical scan data