Summary
This website contacted 10 IPs in 2 countries across 4 domains to perform 86 HTTP transactions. The main domain is dixonmo.gov and was registered NaN years ago.
Submitted URL: https://dixonmo.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate city government site with no apparent security threats.
Safety Factors
Details
Page Title
City of Dixon
Scan Type
public
Language
English
Category
government public service
(75%)Domain Information
Domain 'dixonmo.gov' uses the United States government-restricted top-level domain (.gov). Count 7 characters in 'dixonmo' with 3 vowels and 4 consonants. Splitting it apart reveals 2 words: dixon, mo. Expect 3.5 characters per word on average. Most frequently, 'dion' shows up in Tagalog. Usage also turns up in Galician and Croatian 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 |
|---|---|---|---|
| 14 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 13.248.243.5 | United States | AS16509AMAZON-02 |
| 8 | 23.212.210.248 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 8 | 172.66.151.200 | United States | AS13335CLOUDFLARENET |
| 8 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 104.20.35.239 | United States | AS13335CLOUDFLARENET |
| 8 | 2606:4700:10::6814:23ef | United States | AS13335CLOUDFLARENET |
| 8 | 2a02:26f0:7100:8a5::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 2a02:26f0:7100:891::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 2606:4700:10::ac42:97c8 | United States | AS13335CLOUDFLARENET |
| 86 | 10 | - | - |
Detected Technologies7
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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