Security Scan Report: www.townofnewbremen.gov

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Submitted: Oct 25, 2025, 5:22:19 AMCompleted: Oct 25, 2025, 5:23:43 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 4 domains to perform 29 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%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Official municipal domain (.gov)
No password or payment fields
No brand impersonation or phishing indicators
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

You're looking at domain 'www.townofnewbremen.gov' on the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The core label 'townofnewbremen' covers 15 characters split between 5 vowels and 10 consonants. Word splitting yields four words: town, of, new, bremen. Median word length is 3.5 characters. Most frequently, 'town' shows up in English. It also appears in Chinese (Pinyin) and Dutch contexts.

Screenshot

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

Page Load Overview

50.50s
Total Load Time
29
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:5,361 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
30%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.21.52.77United States
AS13335CLOUDFLARENET
3172.67.196.232United States
AS13335CLOUDFLARENET
3142.250.185.200United States
AS15169GOOGLE
3146.75.121.46Frankfurt am Main, Hesse, Germany
AS54113FASTLY
32606:4700:3036::ac43:c4e8United States
AS13335CLOUDFLARENET
32a04:4e42:8e::302Frankfurt am Main, Hesse, Germany
AS54113FASTLY
32a00:1450:4001:810::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32606:4700:3034::6815:344dUnited States
AS13335CLOUDFLARENET
298--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F133C7C9D2A82A36472312CAF3946BDF7D7ED2F4EE129948F1F6913365C9E5013604CA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lt/MIRIOITIwIgIiKZgNDfIwIGI5IVJ7ScIRIOITIwIgIiKZgNDfIwIGI5IVJ7Sm:tUkqe3lOWlhG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52628:SI4BiyGOMFMEsEVMLIoPQAMjAfGgBAeLAyQoaroBCxgxMEMLgIACJC0QVKHKDABzaooIggICRKAVCjBAGkKiCGCKgQiUr4Ak

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:3c3c343c393d3c3c
Color Hash:#8788c5

Scan History

Scan history not available

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