Security Scan Report: pedagio-eletronico.vercel.app

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Submitted: Jul 16, 2026, 4:51:07 AMCompleted: Jul 16, 2026, 4:54:21 AMpubliccompleted
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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 pedagio-eletronico.vercel.app and was registered NaN years ago.

Submitted URL: https://pedagio-eletronico.vercel.app/inicio

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

The site shows a social‑engineering Safe Browsing warning and high JS obfuscation, but lacks credential forms or malware indicators; treat as moderate risk.

Risk Factors
Safe Browsing social engineering flag
Unknown subdomain age on Vercel hosting
Highly obfuscated JavaScript
Domain age information unavailable

Details

Page Title

Pedágio BR - Pagamentos

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

finance banking

(97%)

Domain Information

The domain 'pedagio-eletronico.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'pedagio-eletronico'. The core label 'vercel' covers 6 characters split between 2 vowels and four consonants. Breaking it apart gives 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pedagio-eletronico.vercel.app/inicio

Page Load Overview

2.70s
Total Load Time
21
HTTP Requests
3
Domains
1.8 MB
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:920 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
97%
technology software
91%
government public service
87%
documentation technical
80%
adult content
74%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2164.29.17.3United States
AS16509Amazon.com, Inc.
211--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11D527426AC05ED0BE9369D5A613EEF3710C9893BC264CEA8D3DDCE5807C2C760BD5985

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:OcvJU6Q5AcZugRXvnvm5e6xqzgWKEKYFJyYFmEtdH7X2vHyUaqSugnqzcpmpdgum:Oc8KCugRXfvmLYgWKeVcanXgKYXao7O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14181:BKTAAEPXBwhAZPgwMyEQJsL5XxcVgQESXASBJSIGikQBJRIRYpbBLKRAMGoIAIAAABgUhCKkpIhIgQWCgh8QkID0YWcCIGqF

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:050e3e0e3018f0f0
Perceptual Hash:96126b692de11ee6
Difference Hash:19dcecbc6261c2c3
Wavelet Hash:051f3e1f3838f0f8
Color Hash:#4a1f93

Scan History

Scan history not available

Unable to load historical scan data