Summary
This website contacted 128 IPs in 4 countries across 33 domains to perform 181 HTTP transactions. The main domain is goodyearaz.gov and was registered NaN years ago.
Submitted URL: https://www.goodyearaz.gov/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate city government website with no security concerns
Safety Factors
Details
Page Title
Access Denied
Scan Type
public
Language
English
Category
government public service
(87%)Domain Information
The domain name 'www.goodyearaz.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The registrable portion 'goodyearaz' spans 10 characters containing five vowels alongside 5 consonants. Breaking it apart gives 2 words: goodyear, az. Median word length comes out to 5 characters. Most frequently, 'az' shows up in Hungarian. You will also see it in Albanian and Vietnamese contexts.
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 |
|---|---|---|---|
| 108 | 23.50.131.140 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 10 | 142.250.181.238 | United States | AS15169GOOGLE |
| 7 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 7 | 142.250.185.195 | United States | AS15169GOOGLE |
| 6 | 13.32.27.70 | New York, New York, United States | AS16509AMAZON-02 |
| 4 | 142.250.185.200 | United States | AS15169GOOGLE |
| 3 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 104.18.40.153 | United States | AS13335CLOUDFLARENET |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 34.107.203.234 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 181 | 128 | - | - |
Detected Technologies11
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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