Security Scan Report: germantownny.gov

Submitted: Oct 14, 2025, 6:18:14 AMCompleted: Oct 14, 2025, 6:19:27 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 4 domains to perform 121 HTTP transactions. The main domain is germantownny.gov and was registered NaN years ago.

Submitted URL: https://germantownny.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Official municipal website with public information
Contains only standard informational and contact forms
Domain age information unavailable

Details

Page Title

HOME - Town of Germantown, NY

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Domain 'germantownny.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The core label 'germantownny' covers 12 characters with 3 vowels and 9 consonants. Word splitting yields 2 words: germantown, ny. Median word length comes out to 6 characters. 'ny' is most common in Norwegian usage. It also appears in Danish and Swedish contexts.

Screenshot

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

Page Load Overview

51.21s
Total Load Time
121
HTTP Requests
4
Domains
1.1 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:7,723 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
37%
education learning
29%
real estate property
26%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
17142.250.186.163United States
AS15169GOOGLE
17157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
17192.185.40.18United States
AS19871NETWORK-SOLUTIONS-HOSTING
172a03:2880:f177:185:face:b00c:0:25deFrankfurt am Main, Hesse, Germany
AS32934FACEBOOK
172a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
172a00:1450:4001:828::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
1217--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E274A572D4861537056F0BAC9374768EAA3DA6ECFA022C9071ACAF3607CFDD814D519B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:hYTsmHmY8knw7uUKIn3eE0Ey94tx5r3eZ0TKWd5svZvXvfv+v1vMvLvfvYvDvMvo:m253nl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:363243:AIACQwZCABAwAzBwI1bACRQYu4H4kgGIlRmF5Kg5QIAjFoJAIIIILICgI+YMCVJIjzoQCRhJsIIKLw4khAAkIAZAyAo9CBMg

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:00e0ffffefffffe3
Perceptual Hash:e36e6e5227869c31
Difference Hash:0701dcc458dcceca
Wavelet Hash:00007e276f7f3f61
Color Hash:#b787c5

Scan History

Scan history not available

Unable to load historical scan data