Security Scan Report: limpaseunomeoficial.vercel.app

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Submitted: Jul 10, 2026, 8:51:36 PMCompleted: Jul 10, 2026, 8:52:44 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 36 HTTP transactions. The main domain is limpaseunomeoficial.vercel.app and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site shows no phishing or malware signs but its unknown age and lack of reputation keep it at moderate risk.

Risk Factors
Unknown subdomain age (could be newly created)
Unranked domain reputation
Safety Factors
Self‑branding aligns with domain
No forms collecting credentials or payments
No malicious JavaScript or external IoC links
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

Limpa Seu Nome Oficial | Recupere Seu Crédito

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

finance banking

(83%)

Domain Information

The domain 'limpaseunomeoficial.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'limpaseunomeoficial'. Count 6 characters in 'vercel' with two vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.51s
Total Load Time
36
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:4,787 chars
Detector Agreement:80%

Website Classification

Primary Category

finance banking83% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
83%
government public service
66%
adult content
59%
corporate business
54%
blog personal website
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18216.198.79.131United States
AS16509Amazon.com, Inc.
1864.29.17.131United States
AS16509Amazon.com, Inc.
362--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T188F3973C3608EE2CA85B9D68737DBE39125CD265D66AD568D6ACC43053C3C78FA639C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:cFVVUGAAr5HI9BuJeR8kIs3PlRAAAARAAAAeAAAA0AAAASAAAAvAAAAEjyjFgsGe:cyhE5HBeRdIs3PlZOhLu07haB+/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:169182:hSVCiQKSoCIKCIYakGORCyREAiQRgnAwmAOQ5KDFArG6dUJAQZGYmAMh8EMhAZJEAcgFQoBUwQqCpRBBoEBBFIhMFSGDIhVI

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:fdc7c3efefc7c3c3
Perceptual Hash:b1ce388acb32cc73
Difference Hash:698e864c489e9e9e
Wavelet Hash:bcc0c0e7e7c3c3c2
Color Hash:#2d8649

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data