Security Scan Report: v0-pagar-pendencias-ser.vercel.app

Submitted: Jul 31, 2026, 3:50:04 PMCompleted: Jul 31, 2026, 3:51:11 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is v0-pagar-pendencias-ser.vercel.app and was registered NaN years ago.

Submitted URL: https://v0-pagar-pendencias-ser.vercel.app/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows no credential collection, malware, or brand impersonation; risk is low despite unknown subdomain age.

Risk Factors
Unknown subdomain creation date
Unranked domain in Cisco Umbrella
Safety Factors
No forms collecting credentials or payments
No malicious JavaScript or network activity
No external links to known malicious sites
Domain age information unavailable

Details

Page Title

Resolva - Pague suas dívidas

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

finance banking

(71%)

Domain Information

You're looking at domain 'v0-pagar-pendencias-ser.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'v0-pagar-pendencias-ser'. The core label 'vercel' covers 6 characters with two vowels and four consonants. It segments into 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://v0-pagar-pendencias-ser.vercel.app/

Page Load Overview

0.73s
Total Load Time
15
HTTP Requests
1
Domains
55 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:223 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
71%
government public service
65%
adult content
47%
healthcare medical
45%
news media journalism
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1564.29.17.3United States
AS16509Amazon.com, Inc.
151--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E362C765F805DE0AD4239E59D43FAF3D10CA857BC6A5C428FBECC96847419B81B96DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:LY9ZuFLsMnFrVFYZMyPb/ZYIOpwgkdhQNLHPEXRWqw+IlJplBgnqzcpmTUOKgPLE:MruFLHFVFuQNLvOuHUhOdPvfg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14742:MsFgRFQIIVgSsAH+RIgqrOiAokAkCGAkyjDBQJyRTBCStoEItDBeLIbSJqAHGkcZNIVcwBtGaWCiiYiJEGKQJHQDZIESVVCU

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:0000ffe7fffffffe
Perceptual Hash:d52a5d2a7722dd88
Difference Hash:10302a4d4c300102
Wavelet Hash:00001f07dbc3fdfc
Color Hash:#931f27

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data