Security Scan Report: www.yorktownny.gov

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Submitted: Nov 22, 2025, 3:21:18 AMCompleted: Nov 22, 2025, 3:22:43 AMpubliccompleted
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Summary

This website contacted 19 IPs in 2 countries across 6 domains to perform 44 HTTP transactions. The main domain is yorktownny.gov and was registered NaN years ago.

Submitted URL: https://www.yorktownny.gov/community/welcome-yorktown

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government website with no security concerns.

Safety Factors
Official government (.gov) domain
Established domain age (>1 year)
No suspicious forms or data collection
No external links to untrusted domains
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Welcome to Yorktown! | Town of Yorktown New York

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(62%)

Domain Information

The domain 'www.yorktownny.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The registrable portion 'yorktownny' spans 10 characters with two vowels and eight consonants. Tokenizing the label suggests two words: yorktown, ny. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.yorktownny.gov/community/welcome-yorktown

Page Load Overview

1.71s
Total Load Time
44
HTTP Requests
6
Domains
6.6 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:8,088 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service62% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
62%
government
48%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32104.21.84.57United States
AS13335CLOUDFLARENET
8216.239.36.178United States
AS15169GOOGLE
7142.250.186.131United States
AS15169GOOGLE
2142.250.185.136United States
AS15169GOOGLE
2172.67.187.27United States
AS13335CLOUDFLARENET
2216.239.34.36United States
AS15169GOOGLE
22606:4700:3032::ac43:bb1bUnited States
AS13335CLOUDFLARENET
22a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
22a00:1450:4001:803::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
22001:4860:4802:34::36United States
AS15169GOOGLE
4419--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A243950254E4503303325AC57D267B2FE787856BDB131A00FBEC8A4AAFC6F459C6B56E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:pdHZRUNIHP68iE5vV7BXvUXE3vCxggl4ft/yYQ:pdHZRUNIx5vV78qCn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59750:ErgMpDEkAbD8bMJbDySIgsOgmAGINoZNMArwZIIZJI1gAoaAwkIQFSggcA8BmwRFk1ZhlJxgiWRwGQgCKAJA8cmEl54AQCEH

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:3c3c3f3f3c3c3c1e
Perceptual Hash:97ee7042aa8e95cc
Difference Hash:65c87a6969e87458
Wavelet Hash:3e203f3f3c3c3c0c
Color Hash:#87d279

Scan History

Scan history not available

Unable to load historical scan data