Summary
This website contacted 34 IPs in 3 countries across 10 domains to perform 89 HTTP transactions. The main domain is cityofrockhill.com and was registered NaN years ago.
Submitted URL: https://www.cityofrockhill.com/
The Cisco Umbrella rank of the primary domain is #857,925 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; the site appears legitimate.
Safety Factors
Details
Page Title
www.cityofrockhill.com
Scan Type
public
Language
English
Category
government public service
(42%)Domain Information
You're looking at domain 'www.cityofrockhill.com' on the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'cityofrockhill' spans 14 characters with four vowels and 10 consonants. Splitting it apart reveals 4 words: city, of, rock, hill. The median word length lands at 4 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 |
|---|---|---|---|
| 23 | 18.64.16.64 | United States | |
| 2 | 23.53.43.66 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 72.246.30.50 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 142.250.186.104 | United States | AS15169GOOGLE |
| 2 | 142.251.140.163 | United States | AS15169GOOGLE |
| 2 | 23.53.43.80 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 104.26.11.16 | United States | AS13335CLOUDFLARENET |
| 2 | 142.250.186.131 | United States | AS15169GOOGLE |
| 2 | 142.251.173.156 | United States | AS15169GOOGLE |
| 89 | 34 | - | - |
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
Scan History
Scan history not available
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