Security Scan Report: silvercreekny.gov

Submitted: Dec 20, 2025, 11:43:44 AMCompleted: Dec 20, 2025, 11:44:19 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 54 HTTP transactions. The main domain is silvercreekny.gov and was registered NaN years ago.

Submitted URL: https://silvercreekny.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no suspicious activity and appears to be a legitimate government website.

Safety Factors
Official .gov domain
Domain age over 180 days
No redirects or external links
Domain age information unavailable

Details

Page Title

Village of Silver Creek - Home

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(64%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'silvercreekny.gov' is registered while skipping any subdomain. Count 13 characters in 'silvercreekny' with 4 vowels and nine consonants. Word splitting yields 3 words: silver, creek, ny. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.22s
Total Load Time
54
HTTP Requests
2
Domains
467 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:3,424 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
64%
news media journalism
54%
government
48%
adult content
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
272.18.244.26Schiphol, North Holland, Netherlands
AS20940Akamai International B.V.
2723.101.118.145Des Moines, Iowa, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
542--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A6D33A116176193B426705D9BEAF6B4E26B58083E18A9C20FDACDF085FC2D902EF275D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:fCNRqb3OOX9Gr1BSUl6XAgI4pw1RjJpRzDrJwig2aVVYrF5WFgwoIUSX8xPmB+iJ:mgXIPvDrJeHVVYLyOPvnJOd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:132925:AIBAXnglQAhEQqBMNXYc4QiO1GQBAtADAJBOLggIBXHJewDWFAKYOItWjJSoARoJVISNCiCCRQAQgLzTWoEQgYBmm2q4OIEA

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:00ff3030f3ffe0f3
Perceptual Hash:ee0ff0f107469c68
Difference Hash:8b516664c7988d85
Wavelet Hash:00ff1010f3ffc0f3
Color Hash:#d2512d

Scan History

Scan history not available

Unable to load historical scan data