ScanMalware.com

Security Scan Report: muschealth.org

Submitted: Mar 21, 2026, 12:26:56 AMCompleted: Mar 21, 2026, 12:28:35 AMpubliccompleted
Loading additional data...

Summary

This website contacted 10 IPs in 2 countries across 10 domains to perform 72 HTTP transactions. The main domain is muschealth.org and was registered NaN years ago.

Submitted URL: https://muschealth.org

The Cisco Umbrella rank of the primary domain is #316,571 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate health system site with no detected security threats.

Safety Factors
Established health‑care organization
Consistent branding with official domain
Standard analytics and CDN external domains only
No suspicious form fields or hidden password inputs
No evidence of phishing, malware, or credential exfiltration
Domain age information unavailable

Details

Page Title

MUSC Health | South Carolina's Leader in Health Care

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(74%)

Domain Information

You're looking at domain 'muschealth.org' on the non-profit oriented generic top-level domain (.org) without a subdomain. The core label 'muschealth' covers 10 characters containing 3 vowels alongside 7 consonants. Breaking it apart gives three words: mus, c, health. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://muschealth.org

Page Load Overview

8.78s
Total Load Time
187
HTTP Requests
24
Domains
10.4 MB
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:6,500 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
74%
education learning
48%
government public service
47%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1816.148.234.153Boardman, Oregon, United States
AS16509Amazon.com, Inc.
1813.226.244.28United States
AS16509Amazon.com, Inc.
1857.151.56.175Washington, Virginia, United States
AS8075Microsoft Corporation
18172.217.16.200United States
AS15169Google LLC
1818.244.20.118United States
AS16509Amazon.com, Inc.
18108.138.2.15United States
AS16509Amazon.com, Inc.
18172.217.20.131United States
AS15169Google LLC
18142.251.36.106United States
AS15169Google LLC
18184.24.77.146GermanyUnknown
18710--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E224FB63955F216345113D929EE63A4E2A01E153C903ABC9F0EE45ECDF9BF9D0D063AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:tzerjG7wA6aZBT6+jd7wA6aZBT6+jd7wA6aZBT6+jK:v4+p4+p4+W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:225620:IINgICEYgoABFSAUEIkYgSCUNUVEKY0fDcaDZJGTBAxNEIZAhQGQoGyAxaUgoZFAfkEuIEDUAEAmQUAGsASBASlgKSIeNgJp

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:ff802400000000ff
Perceptual Hash:fb73f450b50c84a5
Difference Hash:580d494949557122
Wavelet Hash:ffc0a501013c9cff
Color Hash:#5ed22d

Other Hashes

Crop Resistant:580d494949557122,3276adaaa9c5c7e3,1b12958592ad8d82,184c4c684bccd430

Scan History

Scan history not available

Unable to load historical scan data