Summary
This website contacted 23 IPs in 5 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 local government site with no detected threats.
Safety Factors
Details
Page Title
Morro Hills Community Services District
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Domain 'morrohillscsd.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Count 13 characters in 'morrohillscsd' split between three vowels and ten consonants. It segments into 3 words: morro, hills, csd. Median word length comes out to five 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 |
|---|---|---|---|
| 1 | 16.15.205.129 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 23.215.2.101 | Bromma, Skåne County, Sweden | AS20940Akamai International B.V. |
| 1 | 23.215.2.113 | Bromma, Skåne County, Sweden | AS20940Akamai International B.V. |
| 1 | 172.67.195.70 | United States | AS13335CLOUDFLARENET |
| 1 | 104.21.92.149 | United States | AS13335CLOUDFLARENET |
| 1 | 23.215.2.110 | Bromma, Skåne County, Sweden | AS20940Akamai International B.V. |
| 1 | 2.21.199.249 | Bromma, Skåne County, Sweden | AS16625AKAMAI-AS |
| 1 | 216.58.209.170 | United States | AS15169GOOGLE |
| 1 | 52.217.230.232 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 1 | 54.231.166.48 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 34 | 23 | - | - |
Detected Technologies4
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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