Security Scan Report: v0-website-price-change.vercel.app

Submitted: Nov 24, 2025, 1:52:37 PMCompleted: Nov 24, 2025, 1:53:49 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 35 HTTP transactions. The main domain is v0-website-price-change.vercel.app.

Submitted URL: https://v0-website-price-change.vercel.app/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Site mimics a known brand on a new, unranked domain – high risk of phishing.

Risk Factors
Brand impersonation on an unrelated, unranked domain
Newly registered / unknown‑age domain
Unranked domain lacking established reputation
Domain age information unavailable

Details

Page Title

v0 App

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'v0-website-price-change.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'v0-website-price-change'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus 4 consonants. Splitting it apart reveals 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://v0-website-price-change.vercel.app/

Page Load Overview

0.98s
Total Load Time
35
HTTP Requests
1
Domains
1.9 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:1,388 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35216.198.79.131United States
AS16509AMAZON-02
1764.29.17.131United States
AS16509AMAZON-02
352--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1073394B5761CBE1DA41B8FA8F375BF28126C9155E82BD0A8A6BC557143C3CA4FD238C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XFkzu3x////8z/dsdkApc5X////SzzzztKzzzzmJFFFFca:X2u36z/dsd45UPua

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:51817:eQHAXEVISgPkiSJUCtIBQAQgGWC0XihhwWZKuaQMyEplTBgBkBkQkCwYeIKAQhQEAGZwhBMGSZOCganIgBgO3JUFGAQkIxED

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:0000dfdfdff3f3ff
Perceptual Hash:ec1b432e136b16ba
Difference Hash:d137363637260722
Wavelet Hash:0000c3c7df93f7f2
Color Hash:#93381f

Scan History

Scan history not available

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