Security Scan Report: isaacbolsa.vercel.app

Submitted: Nov 24, 2025, 2:30:27 AMCompleted: Nov 24, 2025, 2:31:49 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is isaacbolsa.vercel.app and was registered NaN years ago.

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

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Site impersonates Bolsa Família loan program on an unranked domain; likely phishing.

Risk Factors
Brand impersonation of a government program on an unranked domain
Potential financial scam offering loans without clear legitimacy
Unranked domain may indicate low trustworthiness
Domain age information unavailable

Details

Page Title

Empréstimo Bolsa Família

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'isaacbolsa.vercel.app' is registered, featuring subdomain 'isaacbolsa'. The second-level label 'vercel' is 6 characters long holding two vowels versus 4 consonants. Splitting it apart reveals 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://isaacbolsa.vercel.app/

Page Load Overview

0.29s
Total Load Time
6
HTTP Requests
1
Domains
1.1 MB
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:697 chars
Detector Agreement:75%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6216.198.79.131United States
AS16509AMAZON-02
364.29.17.131United States
AS16509AMAZON-02
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17C22C5B175F30AD35553A0A71BDBCB43396090135E09DE82BE9D66E08FCAD9099A37CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jrlHFJFsrR4fvWEFXUJSvYr4jeErvv1HxBobytibUrsdplBoj:jrRFJFsrtEFESvg4lTv/BobLb0sdpC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10737:AQQjcDcFNFCARGQxoQDg0YSKmiOwSCA4KAAYLiT9TRxBEQCAQYhuQOAmN9MjBUI0MMVAomRTkAKIQuBuCkhBCInoMkJEwqMM

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:0000181818180000
Perceptual Hash:99cc663399cccc99
Difference Hash:304cb2b2b2320c20
Wavelet Hash:000038383c3c0000
Color Hash:#87d279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data