Summary
This website contacted 19 IPs in 3 countries across 7 domains to perform 60 HTTP transactions. The main domain is metrohealth.org and was registered NaN years ago.
Submitted URL: https://www.metrohealth.org/en/newsroom/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Newsroom | MetroHealth - Cleveland, Ohio
Scan Type
public
Language
English
Category
government public service
(40%)Domain Information
You're looking at domain 'www.metrohealth.org' on the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. Count 11 characters in 'metrohealth' with 4 vowels and seven consonants. Tokenizing the label suggests two words: metro, health. Expect 5.5 characters per word on average. The linguistic tilt is English for 'metro'. It also appears in Chinese (Pinyin) and Italian contexts.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 6 | 172.64.145.72 | United States | AS13335CLOUDFLARENET |
| 3 | 104.18.42.184 | United States | AS13335CLOUDFLARENET |
| 3 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 216.58.206.68 | United States | AS15169GOOGLE |
| 3 | 142.251.140.168 | United States | AS15169GOOGLE |
| 3 | 52.223.40.198 | United States | AS16509AMAZON-02 |
| 3 | 20.50.88.235 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 23.50.131.152 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2a06:98c1:310a::ac40:9148 | United States | AS13335CLOUDFLARENET |
| 3 | 2a00:1450:4001:80b::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 60 | 19 | - | - |
Detected Technologies11
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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