Security Scan Report: www.townofnewbremen.gov

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Submitted: Nov 25, 2025, 4:46:26 AMCompleted: Nov 25, 2025, 4:48:44 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 4 domains to perform 30 HTTP transactions. The main domain is townofnewbremen.gov and was registered NaN years ago.

Submitted URL: https://www.townofnewbremen.gov/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Official government TLD (.gov)
No suspicious forms or data collection
Domain not flagged in threat intelligence databases
Domain age information unavailable

Details

Page Title

welcome to the Town of New BremenLewis County, NY - Home Page

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain name 'www.townofnewbremen.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Count 15 characters in 'townofnewbremen' containing 5 vowels alongside 10 consonants. Breaking it apart gives 4 words: town, of, new, bremen. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.townofnewbremen.gov/

Page Load Overview

0.89s
Total Load Time
30
HTTP Requests
4
Domains
682 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
Text Length:7,156 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
32%
forum community discussion
31%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.21.52.77United States
AS13335CLOUDFLARENET
14146.75.121.46Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3172.67.196.232United States
AS13335CLOUDFLARENET
32a00:1450:4001:829::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32606:4700:3034::6815:344dUnited States
AS13335CLOUDFLARENET
32a04:4e42:8e::302Frankfurt am Main, Hesse, Germany
AS54113FASTLY
32606:4700:3036::ac43:c4e8United States
AS13335CLOUDFLARENET
1142.250.185.232United States
AS15169GOOGLE
308--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18E33F8CAE2A82A36472312CAB3946BDF797ED2B4FE125848B1F6913365C9D5013705CF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lt/+IRIOITIwIgIiKZgNDfIwIGI5IVJ7ScIRIOITIwIgIiKZgNDfIwIGI5IVJ7SW:1USqA3ntPnbPfhG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54213:EJT6wZDG5ZCA8UAdTRHRQYhkxTIAV7I0oQQscojJHBWBCAQACpEIMsERRBAJYiEESooaIUG2IAEoYFEggcAgAaGkapoiosEA

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:3c3c3418383c3c38
Perceptual Hash:8a339bd96c366664
Difference Hash:6979657173717171
Wavelet Hash:3c3c343d383c3c3c
Color Hash:#bf4c40

Scan History

Scan history not available

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