Security Scan Report: www.yellvillear.gov

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Submitted: Oct 18, 2025, 3:36:39 AMCompleted: Oct 18, 2025, 3:38:15 AMpubliccompleted
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Summary

This website contacted 41 IPs in 2 countries across 12 domains to perform 105 HTTP transactions. The main domain is yellvillear.gov and was registered NaN years ago.

Submitted URL: https://www.yellvillear.gov/

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Site appears legitimate with no malicious indicators; low risk.

Safety Factors
No forms collecting passwords, payment, or personal data
Content aligns with official city information (address, phone, government services)
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

City of Yellville

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(80%)

Domain Information

The domain 'www.yellvillear.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The core label 'yellvillear' covers 11 characters containing 4 vowels alongside 7 consonants. Word splitting yields 3 words: yell, ville, ar. Median word length is four characters. 'ar' is most common in Breton usage. Secondary signals appear in Latvian and Danish.

Screenshot

Security scan screenshot of https://www.yellvillear.gov/

Page Load Overview

38.72s
Total Load Time
105
HTTP Requests
12
Domains
9.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:8,131 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

RequestsIP AddressLocationAS Autonomous System
2552.217.106.156Ashburn, Virginia, United States
AS16509AMAZON-02
2108.138.7.94United States
AS16509AMAZON-02
2216.58.206.40United States
AS15169GOOGLE
23.174.46.4United States
AS16509AMAZON-02
254.192.35.106United States
AS16509AMAZON-02
254.192.35.86United States
AS16509AMAZON-02
2108.168.254.49Dallas, Texas, United States
AS36351SOFTLAYER
23.174.46.113United States
AS16509AMAZON-02
254.192.35.67United States
AS16509AMAZON-02
2216.239.34.36United States
AS15169GOOGLE
10541--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D142911AAA91825605B80AEF262B729A3718243E6135DF0F95F1771DFCEDE6336370C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1C9Gor9Xa5xhMgXesT3Ncg2ybes43NIajihmJpAm6kEh4Hr7Vztz3SHudzZ85HCv:o9Gor9Xa7hmnlH1XzZGpzM4Pe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:203443:gARVcgT6C+AotxEGGQHBAoAg4cUEQISFGQCBBNFx2tHAFIwoFiMEwBDUIICsguJAgFlmQB4IGUCBCOQKdFDAUWZjDDAGwgUA

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:ffd7003c00ffff00
Perceptual Hash:d216ade94293297e
Difference Hash:8a25d4d4cc172069
Wavelet Hash:ff91043c00ffff00
Color Hash:#1f2593

Scan History

Scan history not available

Unable to load historical scan data