Security Scan Report: castileny.gov

Submitted: Dec 11, 2025, 7:49:26 AMCompleted: Dec 11, 2025, 7:49:55 AMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 5 domains to perform 30 HTTP transactions. The main domain is castileny.gov and was registered NaN years ago.

Submitted URL: https://castileny.gov/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate municipal website with low risk.

Safety Factors
Government‑issued .gov domain
Transparent address and phone details
Absence of credential‑harvesting or payment forms
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Town and Village of Castile

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Domain Information

Domain 'castileny.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Count 9 characters in 'castileny' holding 3 vowels versus 6 consonants. Splitting it apart reveals two words: castile, ny. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.01s
Total Load Time
30
HTTP Requests
5
Domains
1.4 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-US
Text Length:1,616 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: dynamic
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3160.153.0.200United States
AS209242Cloudflare London, LLC
3142.250.185.202United States
AS15169GOOGLE
323.207.210.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.207.210.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.67.132.85Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
3172.217.23.99United States
AS15169GOOGLE
32a02:26f0:480:5ad::228bFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32a00:1450:4001:80f::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a00:1450:4001:831::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a02:26f0:480:58c::228bFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3010--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10473B663563125B6649F36A6F89A621E7BC4B501CB122FD1F0ACC208978DE730CF5B5E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:puhKKvw9ap5wN0K6DMN4TnBGtNNan8J5/1vG0ZaZvnzHv:puhKKvwsHHnG1FGCMbHv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78714:hEFAIwTFMECEDChCI4/VkwcZcEhFAEfCAqFMExByQSIRcChAECrQEEGqeAXQCgguoAEYkZWaAAmCgH4ACmGkqAgY0FYeKn0n

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:008381c3ffffffff
Perceptual Hash:b46c4ec6c713391b
Difference Hash:26b6969ec4d4d4d4
Wavelet Hash:000202427f7f7f7f
Color Hash:#3a785b

Scan History

Scan history not available

Unable to load historical scan data