Security Scan Report: jonesboroar.gov

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Submitted: Dec 3, 2025, 8:16:04 PMCompleted: Dec 3, 2025, 8:20:56 PMpubliccompleted
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Summary

This website contacted 39 IPs in 3 countries across 16 domains to perform 176 HTTP transactions. The main domain is jonesboroar.gov and was registered NaN years ago.

Submitted URL: https://jonesboroar.gov/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Jonesboro, AR | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'jonesboroar.gov' is registered without a subdomain. The second-level label 'jonesboroar' is 11 characters long split between five vowels and 6 consonants. Segmentation suggests two words: jonesboro, ar. Median word length is 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jonesboroar.gov/

Page Load Overview

10.41s
Total Load Time
176
HTTP Requests
16
Domains
66.9 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:3,882 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service59% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
59%
government
48%
social media network
28%
forum community discussion
28%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
83208.90.191.26United States
AS393775IPP-AS
28157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
13142.250.184.195United States
AS15169GOOGLE
12172.67.75.33United States
AS13335CLOUDFLARENET
9172.67.71.109United States
AS13335CLOUDFLARENET
6157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4104.26.15.172United States
AS13335CLOUDFLARENET
4104.26.14.172United States
AS13335CLOUDFLARENET
4104.26.9.123United States
AS13335CLOUDFLARENET
413.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
17639--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17CF319E8A25C2037801372C4F9766B48947B9672FB0B5C8AFEFC5160ABD1CE0D57266D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jvPcA4j1dkARlONvkFy2SJLeW0KvjX8vrXDG4LwuhL0P+vYDsuhAvMd9Vgh9+9Hg:js/DONvaDG4qE+p5BrZu7N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:163423:qwwJABTAOnpRmAScihDYpgQqE10UyfAFcIVAVDAkImABHIDJYwQRJYCkizmuqmyAkWBAyMCBaVJAAggsgnXEsiQhOAUBoEwK

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:0000ff7f7f7f7f7f
Perceptual Hash:817e7c0301bcfcf4
Difference Hash:23850cd1cdd5c0d0
Wavelet Hash:0000c33f273f3f3f
Color Hash:#abc587

Other Hashes

Crop Resistant:23850cd1cdd5c0d0

Scan History

Scan history not available

Unable to load historical scan data