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Security Scan Report: pedagio-digital.vercel.app

Submitted: Jul 18, 2026, 11:51:51 PMCompleted: Jul 18, 2026, 11:52:58 PMpubliccompleted

Summary

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

Submitted URL: https://pedagio-digital.vercel.app/?utm_source=google&utm_campaign=23661334013&utm_medium=197082950329&utm_content=800596841692&utm_term=::pagar%20pedagio&keyword=pagar%20pedagio&device=c&network=g&gad_source=1&gad_campaignid=23661334013&gbraid=0AAAABBhEYlQxm5uwaDYKoxOtU5btGDpQ-&gclid=EAIaIQobChMI54a9loiqkwMVa1BIAB2VaCVwEAMYASAAEgI1u_D_BwE

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site shows a legitimate‑looking corporate page with a contact form; lack of reputation and unknown subdomain age raise moderate suspicion but no concrete malicious signals.

Risk Factors
Unknown subdomain age
Unranked domain
Hosted on a generic cloud platform subdomain
Safety Factors
No password or payment fields
No malicious JavaScript or network activity
No brand impersonation
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 5 to 3
Domain age information unavailable

Details

Page Title

JLP Treinamentos - Capacitação de Representantes Comerciais

Scan Type

public

Language

🇵🇹

Portuguese

(51% confidence)

Category

corporate business

(100%)

Domain Information

Within the application-focused generic top-level domain (.app), 'pedagio-digital.vercel.app' is registered and includes subdomain 'pedagio-digital'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. Splitting it apart reveals two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pedagio-digital.vercel.app/?utm_source=google&utm_campaign=23661334013&utm_medium=197082950329&utm_content=800596841692&utm_term=::pagar%20pedagio&keyword=pagar%20pedagio&device=c&network=g&gad_source=1&gad_campaignid=23661334013&gbraid=0AAAABBhEYlQxm5uwaDYKoxOtU5btGDpQ-&gclid=EAIaIQobChMI54a9loiqkwMVa1BIAB2VaCVwEAMYASAAEgI1u_D_BwE

Page Load Overview

0.30s
Total Load Time
4
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:51%
Script Type:Latin
HTML Lang Attribute:en
Text Length:3,077 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as pt

Website Classification

Primary Category

corporate business100% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
100%
education learning
90%
government public service
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.3United States
AS16509Amazon.com, Inc.
41--

Page Statistics

4
Requests
1
Unique Domains
58.1 KB
Total Size

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1A2A5302298293FA10387E8F7B57B3961BED1C5E21B816CF5AC01B55B81C64DDAF6D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:wFq2cRK09Ci5TKuMpFPMD9hoVU16pOCOsCnYE0COzWOCao8bCDViyPRPYPqkPFPX:w82cRKxid9x7YCDpgT9vp8KwRdkDHHPb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21869:MICmVzEgKRBAnUYEhAnACSIA8gBQm1gAiIiKQDRDIGgh0rRE0ACAQEJGBCAJHjULcoJI+AOhHTMATa9mhEggBgiHCQ4igAJE

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:bbc3c3e7e7c7ffff
Perceptual Hash:f2678d9c87838c8d
Difference Hash:528e8e4c4c941900
Wavelet Hash:bcc2c3e4e4c4cce3
Color Hash:#931f48

Other Hashes

Crop Resistant:528e8e4c4c941900

Scan History

Scan history not available

Unable to load historical scan data