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Security Scan Report: v0-fritadeira-eletrica-gaabor.vercel.app

Submitted: Jul 3, 2026, 4:51:56 AMCompleted: Jul 3, 2026, 4:53:48 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is v0-fritadeira-eletrica-gaabor.vercel.app and was registered NaN years ago.

Submitted URL: https://v0-fritadeira-eletrica-gaabor.vercel.app

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site shows only self‑branding, lacks forms or malicious indicators, but high JS obfuscation and unknown subdomain age raise moderate concern.

Risk Factors
Subdomain on hosting platform with unknown creation date
High JavaScript obfuscation score (base64, concatenation, high entropy)
Safety Factors
No external domains or cross‑origin requests
No IDS/Suricata alerts
No credential exfiltration or form submission
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

v0-fritadeira-eletrica-gaabor.vercel.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(74%)

Domain Information

Within the application-focused generic top-level domain (.app), 'v0-fritadeira-eletrica-gaabor.vercel.app' is registered; it also runs on subdomain 'v0-fritadeira-eletrica-gaabor'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus 4 consonants. Breaking it apart gives 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://v0-fritadeira-eletrica-gaabor.vercel.app

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:816 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
48%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13.64.223.116Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
0216.198.79.195United States
AS16509Amazon.com, Inc.
12--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC048F77329A063986558498E05B430D9F20B143F50AC9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPT2bMy8OldU:FhoC9JSqzzbs6okSjggcpsr2eAK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:188063:cKSCpEADaDBhoFgABfHRJUToUSEEAnHgoUEAIy0gAR8TEDA4SacGMChkoeVGEQVOCCDQAoPAEOB4BQ2hBNBggoiiFIrioG+J

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339accccb33364
Difference Hash:00180c1616000000
Wavelet Hash:fcdcc0c4c0f0f0f0
Color Hash:#6f1f93

Other Hashes

Crop Resistant:00180c1616000000

Scan History

Scan history not available

Unable to load historical scan data