Summary
This website contacted 38 IPs in 2 countries across 6 domains to perform 184 HTTP transactions. The main domain is mayflowerar.gov and was registered NaN years ago.
Submitted URL: https://mayflowerar.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate city government website with no security concerns.
Safety Factors
Details
Page Title
Home — City of Mayflower, AR Government
Scan Type
public
Language
English
Category
government public service
(76%)Domain Information
The domain name 'mayflowerar.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The second-level label 'mayflowerar' is 11 characters long split between 4 vowels and seven consonants. It segments into two words: mayflower, ar. The median word length lands at 5.5 characters. Most frequently, 'ar' shows up in Breton. It also appears in Latvian and Romanian contexts. Overall, 'mayflowerar.gov' reads as Breton.
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 |
|---|---|---|---|
| 179 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 4 | 142.250.186.106 | United States | AS15169GOOGLE |
| 4 | 142.251.140.174 | United States | AS15169GOOGLE |
| 4 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 4 | 142.250.181.238 | United States | AS15169GOOGLE |
| 4 | 216.58.206.78 | United States | AS15169GOOGLE |
| 4 | 2a00:1450:4001:831::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2606:4700::6810:5049 | United States | AS13335CLOUDFLARENET |
| 4 | 2a00:1450:4001:81c::200e | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 142.250.185.238 | United States | AS15169GOOGLE |
| 184 | 38 | - | - |
Detected Technologies16
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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