Security Scan Report: bolsafamilia-g5onevw2d-adforce.vercel.app

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Submitted: Jul 23, 2026, 2:50:50 PMCompleted: Jul 23, 2026, 2:53:08 PMpubliccompleted
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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 bolsafamilia-g5onevw2d-adforce.vercel.app and was registered NaN years ago.

Submitted URL: https://bolsafamilia-g5onevw2d-adforce.vercel.app/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows no credential collection, malware, or IoC evidence; risk is low.

Safety Factors
Absence of forms that collect credentials or payment data
No malicious JavaScript behavior observed
No external links to known malicious sites
Domain age information unavailable

Details

Page Title

Bolsa Família Calendário

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

finance banking

(53%)

Domain Information

Domain 'bolsafamilia-g5onevw2d-adforce.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'bolsafamilia-g5onevw2d-adforce'. The core label 'vercel' covers 6 characters with two vowels and 4 consonants. Splitting it apart reveals two 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://bolsafamilia-g5onevw2d-adforce.vercel.app/

Page Load Overview

2.01s
Total Load Time
35
HTTP Requests
1
Domains
775 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:923 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking53% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
53%
government public service
47%
healthcare medical
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3564.29.17.195United States
AS16509Amazon.com, Inc.
351--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1758211B09223093B456FCED43066E76AD0E3D658DB5B4555B3EC43D32BCECA0ADA22D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:VSeJ/Zha20iEBVVmfgXmTkVuerU3CpcLwp9WPQBsHUFek6O/VudReCmqJ8:VSA/ZhaA7cVu7mqJ8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18239:kAENAgGHwAtiCERoMwgSCAKIbA4AgfigDMBwzLpGQSg4ABXY1dFkC4KhUSQUBRwHFAAUNBqpQCETEgACDsEWxyCI0GUFJBCE

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:f7fe78383830f8fe
Perceptual Hash:c5a6b62ebf4248d2
Difference Hash:4cccc0e062f28020
Wavelet Hash:f7fe7030101078fe
Color Hash:#6cb9e0

Scan History

Scan history not available

Unable to load historical scan data