Security Scan Report: rrh.org

Redirected to:
https://www.rrh.org/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 15 IPs in 1 country across 13 domains to perform 84 HTTP transactions. The main domain is rrh.org and was registered 28 years ago.

Submitted URL: https://rrh.org/

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

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Established Ridgecrest Regional Hospital site on its own 28-year-old domain; no credential or payment forms, no threat-intel, hunting rule or IDS phishing/malware hits. The circular redirect is just the rrh.org→www.rrh.org canonical hop.

Safety Factors (5)
Well-established domain with 28-year registration history
Content matches the claimed brand and domain exactly (hospital in Ridgecrest, Kern County)
No credential or payment collection anywhere on the page
No Indicators of Compromise, no malware patterns, no obfuscated or exfiltrating JavaScript
Accessibility/cookie-consent third-party scripts from AudioEye, CookieYes, Scorpion and Google Fonts — routine marketing/analytics stack
Domain age information unavailable

Details

Page Title

Hospital in Ridgecrest | Ridgecrest Regional Hospital

Scan Type

public

Domain Name Analysis

The domain 'rrh.org' uses the non-profit oriented generic top-level domain (.org). The core label 'rrh' covers 3 characters with 0 vowels and three consonants. It segments into two words: r, rh. Median word length comes out to 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Our lab draw station is open again. All clinics, including Urgent Care, and Outpatient Radiology are open. Please keep your scheduled appointments. To schedule, call 760-446-6404. For medical emergen...

Page Load Overview

2.31s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:9,835 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(98%)🇷🇴ro(1%)🇼🇦cy(1%)🇫🇷fr(1%)

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
45162.159.142.250Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
12104.18.28.155Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9104.18.19.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
552.11.37.152Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
5104.18.18.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.18.29.155Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5142.251.14.95Google · CDNUnited States
AS15169Google LLC
534.217.221.144Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
5104.18.22.56Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
554.212.25.54Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
8415--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5D34BB2368C383E822B61C97465528F712FCD36E5231084B5FFC63A9BD2E516D6B14A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:REfxSwcoNxPCd20J1DT9HJRBJrBFSUQfM25zYn:REfxKoNxPCdQGn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:132555:YYQIBpQZGDAkSbCBCZEAmAIZYEBFo4iGQsKmEshNOhgChjSgsQEMsMZBoAcCzgAaivCKzeQSAcgAEc0qMyjgSBJIghMiVSAN

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:00f9ffbf83031f81
Perceptual Hash:bfc0603d6f9670c1
Difference Hash:3b2b616367376c13
Wavelet Hash:00f9ffbf83030f81
Color Hash:06202030000

Scan History

Scan history not available

Unable to load historical scan data