Security Scan Report: govpedagio.vercel.app

Submitted: Jul 10, 2026, 9:51:35 AMCompleted: Jul 10, 2026, 9:53:29 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 govpedagio.vercel.app and was registered NaN years ago.

Submitted URL: https://govpedagio.vercel.app/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

The site shows no malicious activity but is an unranked Vercel subdomain with unknown age, warranting low risk.

Risk Factors
Unranked subdomain on a hosting platform
Domain age unknown
Safety Factors
No forms or data collection fields
No malicious JavaScript or external links
No threat intelligence hits
Domain age information unavailable

Details

Page Title

Deployment Paused

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(66%)

Domain Information

Within the application-focused generic top-level domain (.app), 'govpedagio.vercel.app' is registered; it also runs on subdomain 'govpedagio'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus four consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://govpedagio.vercel.app/

Page Load Overview

0.26s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
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:94 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service66% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
66%
news media journalism
61%
healthcare medical
59%
cryptocurrency blockchain
58%
real estate property
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.195United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19831787755B1702EF23748FD34E633643244911BC0960F5AF658BBB4E2D7DA69123345

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hR01AUJXgZH+6n9zS3rJGm9q8hDH48OFFxnrFA+Dclgz9Dln38yRL48Ap7Hta:TGoZ9S3dGNGDY7nnrm+AgJJ8E0X7H0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1653:BAAQAABACAAAAABAIAAgAIAIAACABAEIAACAgIIAAAAAAAADAEiAgAAgAQAGAIgAIIIAAAgAAAgAMAAAABAAAAAAAEAAQAAA

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:ffffffe7e7ffffe7
Perceptual Hash:e699cc99669988cd
Difference Hash:0000000c0c00000c
Wavelet Hash:0f0f3f27243c3c24
Color Hash:#d22d6f

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data