Summary
This website contacted 46 IPs in 2 countries across 10 domains to perform 132 HTTP transactions. The main domain is willcounty.gov and was registered NaN years ago.
Submitted URL: https://willcounty.gov/
The Cisco Umbrella rank of the primary domain is #681,521 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
The site appears legitimate and poses no security threats.
Safety Factors
Details
Page Title
Will County Illinois - Home
Scan Type
public
Language
English
Category
government public service
(89%)Domain Information
Domain 'willcounty.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. Its registrable label 'willcounty' stretches across 10 characters containing three vowels alongside seven consonants. Segmentation suggests 2 words: will, county. Expect 5 characters per word on average. 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 |
|---|---|---|---|
| 114 | 64.68.191.195 | Aberdeen, South Dakota, United States | AS14955N-V-C |
| 42 | 18.245.86.37 | United States | AS16509AMAZON-02 |
| 3 | 142.250.186.131 | United States | AS15169GOOGLE |
| 3 | 184.24.77.36 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 142.250.185.110 | United States | AS15169GOOGLE |
| 2 | 13.32.121.87 | New York, New York, United States | AS16509AMAZON-02 |
| 2 | 142.251.140.168 | United States | AS15169GOOGLE |
| 2 | 3.161.82.18 | United States | AS16509AMAZON-02 |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 184.24.77.9 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 132 | 46 | - | - |
Detected Technologies5
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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