Security Scan Report: limpa-cliente.vercel.app

Submitted: Jul 9, 2026, 4:50:30 PMCompleted: Jul 9, 2026, 4:52:57 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 limpa-cliente.vercel.app and was registered NaN years ago.

Submitted URL: https://limpa-cliente.vercel.app/atendimento/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 451 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(56%)

Domain Information

You're looking at domain 'limpa-cliente.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'limpa-cliente'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and 4 consonants. It segments into 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://limpa-cliente.vercel.app/atendimento/

Page Load Overview

0.20s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:92 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service56% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
56%
cryptocurrency blockchain
55%
news media journalism
54%
healthcare medical
54%
real estate property
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.195United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BC3176B745B1702EF23B88FE34D677646244951BC0920F99B618AFB4E2C7CA65023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz72Jx0:nGi9ScnwEYk0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:ABEAAAAAAIEAACYAAIAACAAAAAAICAAIAAAAAIIEQAQAAAAgABAIAACAAAAAIECAAAAABAwEAAAgAAQAAAAQIAAMAAAAAQAA

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:ffffffe7e7ffffe7
Perceptual Hash:e699999966999989
Difference Hash:0000000c0c00000c
Wavelet Hash:0c0c3c24273f0f07
Color Hash:#87a2c5

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data