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Security Scan Report: protocolo-feirao.vercel.app

Submitted: Nov 23, 2025, 7:59:16 PMCompleted: Nov 23, 2025, 8:01:04 PMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 6 domains to perform 17 HTTP transactions. The main domain is protocolo-feirao.vercel.app.

Submitted URL: https://protocolo-feirao.vercel.app/utm_host.html

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

No evident threats; low risk but content unknown

Risk Factors
Domain is unranked in Cisco Umbrella (low reputation indicator)
Domain appears to be newly created or age unknown
Safety Factors
No credential collection fields present
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

UTM Host

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'protocolo-feirao.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'protocolo-feirao'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. It segments into 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://protocolo-feirao.vercel.app/utm_host.html

Page Load Overview

0.12s
Total Load Time
17
HTTP Requests
6
Domains
87 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:8 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.26.10.205United States
AS13335CLOUDFLARENET
5157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2104.26.13.205United States
AS13335CLOUDFLARENET
2216.198.79.3United States
AS16509AMAZON-02
1172.67.74.152United States
AS13335CLOUDFLARENET
1104.26.11.205United States
AS13335CLOUDFLARENET
1172.67.68.221United States
AS13335CLOUDFLARENET
164.29.17.3United States
AS16509AMAZON-02
12606:4700:20::681a:bcdUnited States
AS13335CLOUDFLARENET
1716--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18341DF4E5C92B0F06275088958B37059248AA11FF873FDF8A5CCC5353A54EAD0CC386F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nk/NpgZql1Du+ndmq3HwuVG4Cw2UB5nmD/Ye5AVTiQvR7iuHcUVZ0JZUVZrVuV55:nk/fgAHzViwF5nkQKwAuaugVbjN2WX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1968:AQAgAhgAAASAAlAoAAIAAAAIgAAggBAAACgAAAIABAAGAGAAEABAIJAAQIAEAAAAEAACAQAFAAIQAAQAAAAIAA2gUAAMAAAA

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#67862d

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data