Security Scan Report: germantownny.gov

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Submitted: Dec 4, 2025, 7:29:39 AMCompleted: Dec 4, 2025, 7:31:10 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

High Risk

Confidence: 78%

7
Risk Score

Site shows suspicious credential‑harvesting elements on a new, low‑reputation domain; treat as potential phishing.

Risk Factors
Password field present on a recently registered domain
Low legitimacy signals despite .gov TLD
Unranked domain lacking established reputation
Domain age information unavailable

Details

Page Title

HOME - Town of Germantown, NY

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain name 'germantownny.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Its registrable label 'germantownny' stretches across 12 characters holding 3 vowels versus 9 consonants. Breaking it apart gives 2 words: germantown, ny. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.68s
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:8,600 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
38%
education learning
29%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
105192.185.40.18United States
AS19871NETWORK-SOLUTIONS-HOSTING
172a00:1450:4001:81c::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
172a03:2880:f37a:8d:face:b00c:0:2Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
172a03:2880:f37a:80:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
10142.250.184.227United States
AS15169GOOGLE
457.144.244.141Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
257.144.244.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1217--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16784B772D4861437066E0BAD9374768E9A7DA6ECFA022C9071ECBF2607CFDD814C519B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:mYvsmHlY8knw7uUKIn3eE0Ey94tx5r3bqZ0TKW5LWvuvLvuvivlvXv8vOvvvQvCK:7DLDhw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:381279:wAFyECAhChgViGRagNVCCQMVqUDiKySNEEkBplAgBYUnBpQmGFEDWagiGQgYAjlBchpTTgFUoISAwBJBCkQ4ahCIkACqBAIG

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:0000e0ffffffffff
Perceptual Hash:c242159595d75377
Difference Hash:d48701c0962b2b03
Wavelet Hash:0000c0ff3fddff81
Color Hash:#361f93

Scan History

Scan history not available

Unable to load historical scan data