Security Scan Report: richmondny.gov

Submitted: Dec 20, 2025, 10:56:34 AMCompleted: Dec 20, 2025, 10:57:06 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 49 HTTP transactions. The main domain is richmondny.gov and was registered NaN years ago.

Submitted URL: https://richmondny.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate town website with no security concerns.

Safety Factors
Government domain (.gov) typically trusted
Established domain age
No suspicious forms or data collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Town of Richmond - Home

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain name 'richmondny.gov' uses the United States government-restricted top-level domain (.gov). Count 10 characters in 'richmondny' containing 2 vowels alongside 8 consonants. Breaking it apart gives two words: richmond, ny. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.05s
Total Load Time
49
HTTP Requests
2
Domains
534 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:3,952 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
38%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1723.101.118.145Des Moines, Iowa, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
162.18.244.26Schiphol, North Holland, Netherlands
AS20940Akamai International B.V.
162.18.244.23Schiphol, North Holland, Netherlands
AS20940Akamai International B.V.
493--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11FC31B11517E283B426B05997EEF6B4E25F54083E1C9A914FD9CDE080FC2ED42AF1B6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:fmiJNcXqKiRqX5F2VVolOEqUoxlXeR+TDr4ig2aVVYr65W+gwoIUSX8xPmZ+iaPT:uxXqKi8sYChDr2HVVYiDOPvr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:121201:BAEIBJAIWKNLKgRIIEQAwWA4gfRESAW7AFtYQCQgCNAJgRCIAFYH/USMAmACIBWQYBQY9eUAICkAEAgycbAOkQQAGMaIAALQ

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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