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

Site favicon
Submitted: Jul 9, 2026, 12:50:30 PMCompleted: Jul 9, 2026, 12:53:03 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 35 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: 72%

3
Risk Score

The site mimics a government program but lacks forms; unknown subdomain age and lack of reputation raise moderate risk.

Risk Factors
Brand impersonation without credential collection
Unknown subdomain age on a hosting platform
Unranked / low‑reputation domain
Safety Factors
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

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) and includes subdomain 'bolsafamilia-g5onevw2d-adforce'. The registrable portion 'vercel' spans 6 characters split between two vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bolsafamilia-g5onevw2d-adforce.vercel.app/

Page Load Overview

7.52s
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
18216.198.79.67United States
AS16509Amazon.com, Inc.
1764.29.17.67United States
AS16509Amazon.com, Inc.
352--

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:#6440bf

Scan History

Scan history not available

Unable to load historical scan data