Summary
This website contacted 16 IPs in 2 countries across 14 domains to perform 84 HTTP transactions. The main domain is medicalcountermeasures.gov and was registered NaN years ago.
Submitted URL: https://medicalcountermeasures.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate and poses no security risk.
Safety Factors
Details
Page Title
Medical Countermeasures | USA Public Health Security
Scan Type
public
Language
English
Category
documentation technical
(73%)Domain Information
You're looking at domain 'medicalcountermeasures.gov' on the United States government-restricted top-level domain (.gov) and has no subdomain. Its registrable label 'medicalcountermeasures' stretches across 22 characters split between 10 vowels and twelve consonants. It segments into two words: medical, countermeasures. The median word length lands at eleven characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 9 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 5 | 13.107.213.53 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 172.64.147.188 | United States | AS13335CLOUDFLARENET |
| 5 | 216.58.210.131 | United States | AS15169GOOGLE |
| 5 | 20.49.99.74 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 104.18.40.68 | United States | AS13335CLOUDFLARENET |
| 5 | 104.18.0.22 | United States | AS13335CLOUDFLARENET |
| 5 | 13.219.151.155 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 5 | 13.111.47.35 | United States | AS14340SALESFORCE |
| 84 | 16 | - | - |
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
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