Summary
This website contacted 25 IPs in 2 countries across 5 domains to perform 51 HTTP transactions. The main domain is openpaymentsdata.cms.gov and was registered NaN years ago.
Submitted URL: https://openpaymentsdata.cms.gov/company/100000071361
The Cisco Umbrella rank of the primary domain is #27,793 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate U.S. government resource with no security concerns.
Safety Factors
Details
Page Title
| OpenPayments
Scan Type
public
Language
English
Category
government public service
(65%)Domain Information
The domain 'openpaymentsdata.cms.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'openpaymentsdata'. The core label 'cms' covers 3 characters split between zero vowels and 3 consonants. Word splitting yields one word: cms. Median word length is 3 characters. The linguistic tilt is Afrikaans for 'cms'. Usage also turns up in Spanish and Vietnamese contexts. Overall, 'openpaymentsdata.cms.gov' reads as Afrikaans with single-word simplicity.
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 |
|---|---|---|---|
| 3 | 3.171.214.110 | United States | AS16509AMAZON-02 |
| 2 | 54.226.250.188 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 18.215.52.141 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 3.171.214.63 | United States | AS16509AMAZON-02 |
| 2 | 92.123.104.8 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 35.174.143.204 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 23.67.129.136 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 2a02:26f0:3500:58d::1fc4 | Germany | Unknown |
| 2 | 3.171.214.106 | Germany | Unknown |
| 2 | 2600:9000:28c5:ac00:7:2bfb:7c00:93a1 | Germany | Unknown |
| 51 | 25 | - | - |
Detected Technologies8
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
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