Summary
This website contacted 13 IPs in 2 countries across 5 domains to perform 74 HTTP transactions. The main domain is winkelmanaz.gov and was registered NaN years ago.
Submitted URL: https://winkelmanaz.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Town Of Winkelman - Town of Winkelman incorporated in 1949. Come and Enjoy the Great Arizona Experience.
Scan Type
public
Language
English
Category
social media network
(88%)Domain Information
Domain 'winkelmanaz.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The core label 'winkelmanaz' covers 11 characters containing 4 vowels alongside seven consonants. Segmentation suggests 3 words: winkel, man, az. Median word length is three characters. Most frequently, 'man' shows up in Hungarian. Usage also turns up in Latvian and Swedish contexts. Net impression: Hungarian 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 |
|---|---|---|---|
| 14 | 142.250.185.132 | United States | AS15169GOOGLE |
| 5 | 142.250.181.234 | United States | AS15169GOOGLE |
| 5 | 200.225.42.174 | El Segundo, California, United States | AS54641IMH-IAD |
| 5 | 142.250.185.195 | United States | AS15169GOOGLE |
| 5 | 142.250.186.35 | United States | AS15169GOOGLE |
| 5 | 2a00:1450:4001:829::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2a00:1450:4001:812::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2a00:1450:4001:828::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2a00:1450:4001:830::2004 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 142.250.186.106 | United States | AS15169GOOGLE |
| 74 | 13 | - | - |
Detected Technologies8
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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