Security Scan Report: netcare-healthos.vercel.app

Submitted: Jul 10, 2026, 9:52:17 PMCompleted: Jul 10, 2026, 9:53:37 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 netcare-healthos.vercel.app and was registered NaN years ago.

Submitted URL: https://netcare-healthos.vercel.app/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 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

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(78%)

Domain Information

Domain 'netcare-healthos.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'netcare-healthos'. Count 6 characters in 'vercel' split between two vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://netcare-healthos.vercel.app/

Page Load Overview

0.26s
Total Load Time
2
HTTP Requests
1
Domains
0 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:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical78% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
78%
government public service
46%
cryptocurrency blockchain
36%
technology software
34%
healthcare medical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.131United 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

T15E81A3377B69211AF333C89FA0C2AB893000A121D1BBDAB9FF579F15D5CA1651E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNM6/Jv:nGRe91n5O6Yp63XKk1Vr3h6RkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3834:JJAAAQHBFQECECSAACAAJAAIAaAAgAQSCBAmiqMgAQAIAMAqAkEQISAQAAAEEEKBCNQEEAASAggAAQICgCkABAAICAFIgEgA

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:ffffffcfc3c3ffff
Perceptual Hash:b199ce663199cc66
Difference Hash:000000181e040000
Wavelet Hash:f0f0f4c0c0c0fcfc
Color Hash:#ac538e

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data