Summary
This website contacted 10 IPs in 2 countries across 6 domains to perform 33 HTTP transactions. The main domain is roscommon911.gov and was registered NaN years ago.
Submitted URL: https://roscommon911.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate Roscommon County 911 site with no security concerns.
Safety Factors
Details
Page Title
Home - Roscommon County 911
Scan Type
public
Language
English
Category
government public service
(95%)Domain Information
You're looking at domain 'roscommon911.gov' on the United States government-restricted top-level domain (.gov). Its registrable label 'roscommon911' stretches across 12 characters containing 3 vowels alongside 6 consonants; it also includes 3 digits. It segments into two words: roscommon, 911. Expect six characters per word on average. The linguistic tilt is Korean for '911에'.
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 | 216.58.206.35 | United States | AS15169GOOGLE |
| 3 | 172.67.174.180 | United States | AS13335CLOUDFLARENET |
| 3 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 3 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 3 | 104.21.88.93 | United States | AS13335CLOUDFLARENET |
| 3 | 50.6.109.87 | Ashburn, Virginia, United States | AS31898ORACLE-BMC-31898 |
| 3 | 2606:4700:3036::6815:585d | United States | AS13335CLOUDFLARENET |
| 3 | 2606:4700:3036::ac43:aeb4 | United States | AS13335CLOUDFLARENET |
| 3 | 2a00:1450:4001:811::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 3 | 142.250.185.67 | United States | AS15169GOOGLE |
| 33 | 10 | - | - |
Page Statistics
Detected Technologies11
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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