Summary
This website contacted 64 IPs in 4 countries across 13 domains to perform 107 HTTP transactions. The main domain is claytonmo.gov and was registered NaN years ago.
Submitted URL: https://www.claytonmo.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate city government website with no security concerns.
Safety Factors
Details
Page Title
Access Denied
Scan Type
public
Language
English
Category
government public service
(74%)Domain Information
The domain 'www.claytonmo.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The core label 'claytonmo' covers 9 characters split between three vowels and six consonants. Segmentation suggests two words: clayton, mo. Average segment length settles at 4.5 characters. 'mo' is most common in Tagalog usage. You will also see it in Galician and Croatian contexts. Net impression: Tagalog phrase.
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 |
|---|---|---|---|
| 44 | 104.18.40.153 | United States | AS13335CLOUDFLARENET |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 142.250.186.100 | United States | AS15169GOOGLE |
| 1 | 2.21.1.49 | Manchester, England, United Kingdom | AS20940Akamai International B.V. |
| 1 | 212.102.56.179 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 172.64.147.103 | United States | AS13335CLOUDFLARENET |
| 1 | 104.116.96.159 | Aubervilliers, Île-de-France, France | AS16625AKAMAI-AS |
| 1 | 52.36.202.140 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 79.127.211.89 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 107 | 64 | - | - |
Detected Technologies9
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
Scan History
Scan history not available
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