ScanMalware.com

Security Scan Report: www.townofroyaltonny.gov

Submitted: Dec 21, 2025, 6:03:25 AMCompleted: Dec 21, 2025, 6:03:50 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 2 domains to perform 12 HTTP transactions. The main domain is townofroyaltonny.gov and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Site appears legitimate but recent domain age and lack of ranking suggest moderate caution.

Risk Factors
Domain is less than 180 days old, which is a moderate risk indicator
Domain is unranked in Cisco Umbrella (not in top 1M) which adds slight suspicion
Safety Factors
Uses a .gov top‑level domain
Page displays only a human verification challenge, no data‑collecting fields
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(63%)

Domain Information

The domain 'www.townofroyaltonny.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. The registrable portion 'townofroyaltonny' spans 16 characters containing five vowels alongside 11 consonants. Word splitting yields 4 words: town, of, royalton, ny. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.28s
Total Load Time
12
HTTP Requests
2
Domains
1 KB
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-US
Text Length:365 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
63%
government
48%
documentation technical
36%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.95.41United States
AS13335CLOUDFLARENET
3104.18.27.72United States
AS13335CLOUDFLARENET
3104.18.94.41United States
AS13335CLOUDFLARENET
3104.18.26.72United States
AS13335CLOUDFLARENET
124--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE825B379942102FB2374FA77079F7145124F688E30293BBF5A39E94C6C891B16A23EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ha+M9yIPl2boVmJkEqnXBqub7TbxZcV0NYQuq1uawudAunU3XCVyEbFXP:4+Mcq4brJkxnggZm0NY5kD3dAOU3Svf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18053:KOIAqQCklcCAQFEMI9DAUAwZOARdUUhcymhqhhhGoRMChbAhkUSFBJwO7MUxAQqW4gYAkjJSqlXMYFIBQAqEAQSgOESjgKEI

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:ffff03017f1fff01
Perceptual Hash:b5d5ead0422639b5
Difference Hash:00002ec6d0502b4b
Wavelet Hash:fefe00007e0eff01
Color Hash:#2d98d2

Other Hashes

Crop Resistant:00002ec6d0502b4b

Scan History

Scan history not available

Unable to load historical scan data