Security Scan Report: pedagio-digital.vercel.app

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is vercel.app and was registered 6 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

High Risk

Confidence: 72%

7
Risk Score

Toll-payment lookalike hostname and 'pagar pedagio' ad traffic resolve to an unrelated training page; phishing report plus hostname/content mismatch and likely cloaking make this unsafe to trust.

Risk Factors (5)
Hostname 'pedagio-digital' (toll payment) does not match the served content (commercial sales training), indicating a deceptive domain name
Paid advertising campaign bidding on 'pagar pedagio' keyword directing traffic to an unrelated page — cloaking/repurposing pattern
Single-source phishing report against the primary domain
Fresh, unranked subdomain on a free hosting platform where tenant age is unknown
Page content may vary by referrer/device, so the captured benign render is not representative of what ad-clickers see
Domain age information unavailable

Details

Page Title

JLP Treinamentos - Capacitação de Representantes Comerciais

Scan Type

public

Domain Name Analysis

The domain name 'pedagio-digital.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'pedagio-digital'. The core label 'vercel' covers 6 characters containing two vowels alongside four consonants. Breaking it apart gives 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://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

0.44s
Total Load Time
58 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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
89%
government public service
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
42--

Detected Technologies3

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:bbc3e7e7e7c7ffff
Perceptual Hash:f6278d8c8b8b8d89
Difference Hash:728e0e4c4c94b001
Wavelet Hash:bcc2c1e0e4c0ccff
Color Hash:#d279cc

Other Hashes

Crop Resistant:728e0e4c4c94b001

Scan History

Scan history not available

Unable to load historical scan data