Summary
This website contacted 29 IPs in 3 countries across 6 domains to perform 34 HTTP transactions. The main domain is morrohillscsd.gov and was registered NaN years ago.
Submitted URL: https://morrohillscsd.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate community site with no security concerns.
Safety Factors
Details
Page Title
Morro Hills Community Services District
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain name 'morrohillscsd.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The registrable portion 'morrohillscsd' spans 13 characters holding three vowels versus ten consonants. Splitting it apart reveals three words: morro, hills, csd. Median word length comes out to 5 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 |
|---|---|---|---|
| 24 | 172.67.195.70 | United States | AS13335CLOUDFLARENET |
| 6 | 142.250.185.170 | United States | AS15169GOOGLE |
| 6 | 23.32.238.210 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 16.182.106.224 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 1 | 23.32.238.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 16.15.207.167 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 23.32.238.192 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 104.103.97.167 | Vienna, Vienna, Austria | AS16625AKAMAI-AS |
| 1 | 104.21.92.149 | United States | AS13335CLOUDFLARENET |
| 1 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 34 | 29 | - | - |
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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