ScanMalware.com

Security Scan Report: queens.org

Redirected to:
https://www.queens.org/
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Submitted: Jun 26, 2026, 9:39:24 PMCompleted: Jun 26, 2026, 9:40:37 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is queens.org and was registered NaN years ago.

Submitted URL: https://queens.org

Effective URL: https://www.queens.org/Redirected

The Cisco Umbrella rank of the primary domain is #200,347 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears to be a legitimate health‑care website with no phishing, malware, or credential‑harvesting indicators.

Safety Factors
Established domain with long registration history
Low Cisco Umbrella ranking does not imply maliciousness here
Absence of forms that collect credentials or payments
No external threat‑intel matches
No malicious JavaScript patterns or network exfiltration
Domain age information unavailable

Details

Page Title

The Queen′s Health Systems

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(58%)

Domain Information

You're looking at domain 'queens.org' on the non-profit oriented generic top-level domain (.org) with no subdomain. The registrable portion 'queens' spans 6 characters split between 3 vowels and 3 consonants. Segmentation suggests one word: queens. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://queens.org

Page Load Overview

4.34s
Total Load Time
87
HTTP Requests
11
Domains
1001 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-US
Text Length:5,457 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical58% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
58%
government public service
51%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17199.16.173.51San Francisco, California, United States
AS2635Automattic, Inc
14184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
14185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
14143.204.181.117United States
AS16509Amazon.com, Inc.
1465.8.131.48United States
AS16509Amazon.com, Inc.
14199.16.172.190San Francisco, California, United States
AS2635Automattic, Inc
876--

Detected Technologies10

WordPress
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
HSTS
40%
Typekit
30%
Adobe Fonts
30%
Swiper
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10614E7727A426036236F15CFE0276B0D61E3E7CDEA916CD0E6F84268A6F4DB037E5254

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:I2ypegqF/PNT6KnIy9fuTu1ivSctfggvlGIppqzTesZk++cBpdoL6IubS+d+G:IvEtyDubS+7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:190728:THX4uIpEKgEoAIgECGE00AgoJsCMJsBQeCaGfSAiRaGQBJHIEQeMmVkhRyNECIiwqKXNMyARIjjqcGE1CQQSEAAAOBBBYKBC

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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