ScanMalware.com

Security Scan Report: russell-ar.gov

Submitted: Nov 5, 2025, 6:41:06 AMCompleted: Nov 5, 2025, 6:41:58 AMpubliccompleted
Loading additional data...

Summary

This website contacted 53 IPs in 2 countries across 10 domains to perform 36 HTTP transactions. The main domain is russell-ar.gov and was registered NaN years ago.

Submitted URL: https://russell-ar.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Official government domain
Established domain age
No malicious Indicators of Compromise
Standard informational website features only
Domain age information unavailable

Details

Page Title

Home | Town of Russell

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(79%)

Domain Information

Domain 'russell-ar.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The second-level label 'russell-ar' is 10 characters long holding three vowels versus 6 consonants, along with 1 hyphen. Splitting it apart reveals two words: russell, ar. Median word length is 4.5 characters. Most frequently, 'russell' shows up in Breton. Secondary signals appear in Latvian and Romanian.

Screenshot

Security scan screenshot of https://russell-ar.gov/

Page Load Overview

16.31s
Total Load Time
36
HTTP Requests
10
Domains
1.8 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:4,335 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
79%
forum community discussion
78%
blog personal website
66%
news media journalism
65%
adult content
63%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36151.101.194.137San Francisco, California, United States
AS54113FASTLY
0151.101.129.229San Francisco, California, United States
AS54113FASTLY
0142.250.184.227United States
AS15169GOOGLE
0142.250.184.234United States
AS15169GOOGLE
0188.114.97.3United States
AS13335CLOUDFLARENET
0216.58.206.42United States
AS15169GOOGLE
0216.58.206.67United States
AS15169GOOGLE
0142.250.181.234United States
AS15169GOOGLE
0142.250.185.132United States
AS15169GOOGLE
0142.250.186.106United States
AS15169GOOGLE
3653--

Detected Technologies10

Modernizrv2.6.2-respond-1.1.0.min
100%
JQueryv3.7.1
100%
HTTP/3
40%
HSTS
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Google Analytics
35%
jsDelivr
20%
jQuery CDN
20%
Google Maps
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9E2B322AC90992701DB55CEB63AAA15A4F69307C72B1840F6FE87E90FDBD5DC83350D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:4HgJ99tkFZ4mK2JPn9uZPEFU5VzsH84efaR5Ppzw/rE4Er/yGhbAs:7JjtI452JPn9u+/efaRvws

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32886:loOAIRaIMHCWAQjAIgABDmCMQAwBlCQkIAAVIiAUaxhBdMlgJhGOgQgeBTgjkuFRYOaHaeBKACUHAwMpEUHYLAKRAAWAAQiA

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:3c7f03173e3c7e7c
Perceptual Hash:803ec3575d616b36
Difference Hash:f0e4aff6fcf8d0d0
Wavelet Hash:001f03173e3e7e7c
Color Hash:#783a6f

Other Hashes

Crop Resistant:f0e4aff6fcf8d0d0,01110db3b30d31f0,b0d1d9fcffe6efe4,c4d41830303234bc,6241a45025a4a591,dedeb8c67fbee7bf

Scan History

Scan history not available

Unable to load historical scan data