Summary
This website contacted 10 IPs in 2 countries across 4 domains to perform 26 HTTP transactions. The main domain is willcounty911.gov and was registered NaN years ago.
Submitted URL: https://willcounty911.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Will County 9-1-1 Emergency Telephone System | When Seconds Count
Scan Type
public
Language
English
Category
government public service
(64%)Domain Information
The domain 'willcounty911.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The registrable portion 'willcounty911' spans 13 characters split between three vowels and seven consonants, along with 3 digits. Tokenizing the label suggests 3 words: will, county, 911. Expect four 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 |
|---|---|---|---|
| 18 | 45.40.155.106 | United States | AS398787GO-DADDY-COM-LLC |
| 5 | 142.250.184.227 | United States | AS15169GOOGLE |
| 2 | 142.250.186.131 | United States | AS15169GOOGLE |
| 2 | 104.18.20.57 | United States | AS13335CLOUDFLARENET |
| 2 | 13.32.121.13 | New York, New York, United States | AS16509AMAZON-02 |
| 2 | 104.18.21.57 | United States | AS13335CLOUDFLARENET |
| 2 | 13.32.121.3 | New York, New York, United States | AS16509AMAZON-02 |
| 2 | 2a00:1450:4001:80f::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 2 | 13.32.121.104 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 13.32.121.87 | New York, New York, United States | AS16509AMAZON-02 |
| 26 | 10 | - | - |
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
Unable to load historical scan data