Summary
This website contacted 41 IPs in 1 country across 12 domains to perform 106 HTTP transactions. The main domain is yellvillear.gov.
Submitted URL: https://www.yellvillear.gov/
AI Security Verdict
Safe Website
Confidence: 95%
0
Risk Score
The site appears to be a legitimate city government website with no malicious activity detected.
Safety Factors
Official government top‑level domain (.gov)
Clear municipal branding and contact details
No external links to suspicious domains
Domain age information unavailable
Details
Page Title
City of Yellville
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
government public service
(80%)Screenshot

Page Load Overview
36.60s
Total Load Time
106
HTTP Requests
12
Domains
10.2 MB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:8,298 chars
Detector Agreement:100%
Website Classification
Primary Category
government public service80% confidence
Type: spa
Method: ml+structural
All Detected Categories
government public service
80%
government
48%
finance banking
41%
documentation technical
30%
corporate
25%
Detected Features
OG: website
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 26 | 3.174.46.4 | United States | AS16509AMAZON-02 |
| 2 | 108.138.7.94 | United States | AS16509AMAZON-02 |
| 2 | 3.171.214.87 | United States | AS16509AMAZON-02 |
| 2 | 18.244.20.82 | United States | AS16509AMAZON-02 |
| 2 | 13.248.175.166 | United States | AS16509AMAZON-02 |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 142.250.184.232 | United States | AS15169GOOGLE |
| 2 | 18.244.20.158 | United States | AS16509AMAZON-02 |
| 2 | 142.250.186.110 | United States | AS15169GOOGLE |
| 2 | 3.174.46.98 | United States | AS16509AMAZON-02 |
| 106 | 41 | - | - |
Detected Technologies6
100%
100%
40%
20%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T1AC142911A6991829604B80AEF292BB29A3718143E6131DF4F99F1771DFCEDE6336374C
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
3072:DC9Gor9Xl5xhMgXesT3Ncg2ybesL3NIajihmJpjAoq9jXrTVddz17uHudzZ85rC1:G9Gor9XlGhm+XDlzZG7jM4Pe
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:204316:EYVrQSVAF1BECgAQQAgAIUAjgICQBCIjOwAYWOogYEoqwwIENJACCq8kyCwGcgIyIpCdsIbQSCJY1sIKFq+gCJAAIIISAmOA
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
Average Hash:ffc7003c00ffff00
Perceptual Hash:d252ade94297295e
Difference Hash:8a2fd4d4cc172069
Wavelet Hash:ff85043c00ffff00
Color Hash:#ac5d53
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data