Summary
This website contacted 37 IPs in 2 countries across 10 domains to perform 101 HTTP transactions. The main domain is cobbcounty.gov and was registered NaN years ago.
Submitted URL: https://www.cobbcounty.gov/
The Cisco Umbrella rank of the primary domain is #879,097 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Homepage | Cobb County Georgia
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.cobbcounty.gov' is registered with subdomain 'www'. The registrable portion 'cobbcounty' spans 10 characters containing three vowels alongside seven consonants. Word splitting yields two words: cobb, county. Average segment length settles at 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 |
|---|---|---|---|
| 84 | 146.75.122.191 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 104.18.38.142 | United States | AS13335CLOUDFLARENET |
| 2 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 172.64.149.114 | United States | AS13335CLOUDFLARENET |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 185.111.111.158 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 2 | 65.9.175.78 | United States | AS16509AMAZON-02 |
| 2 | 104.26.4.11 | United States | AS13335CLOUDFLARENET |
| 101 | 37 | - | - |
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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