Summary
This website contacted 28 IPs in 2 countries across 0 domains to perform 0 HTTP transactions. The main domain is luminishealth.org.
Submitted URL: https://luminishealth.org
AI Security Verdict
Details
Page Title
Home | Luminis Health
Scan Type
public
Domain Information
The domain 'luminishealth.org' uses the non-profit oriented generic top-level domain (.org) and has no subdomain. The second-level label 'luminishealth' is 13 characters long holding 5 vowels versus eight consonants. Word splitting yields 3 words: lu, minis, health. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 0 | 18.156.149.51 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 0 | 13.226.244.86 | United States | AS16509AMAZON-02 |
| 0 | 13.226.244.54 | United States | AS16509AMAZON-02 |
| 0 | 172.217.18.3 | United States | AS15169GOOGLE |
| 0 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 0 | 104.18.27.61 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.185.234 | United States | AS15169GOOGLE |
| 0 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 0 | 142.251.141.100 | United States | AS15169GOOGLE |
| 0 | 13.226.244.98 | United States | AS16509AMAZON-02 |
| 0 | 28 | - | - |
Detected Technologies2
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
Scan history not available
Unable to load historical scan data