Security Scan Report: fairfieldtown-ut.gov

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Submitted: Nov 16, 2025, 6:58:35 PMCompleted: Nov 16, 2025, 6:59:29 PMpubliccompleted
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Summary

This website contacted 110 IPs in 2 countries across 16 domains to perform 65 HTTP transactions. The main domain is fairfieldtown-ut.gov and was registered NaN years ago.

Submitted URL: https://fairfieldtown-ut.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Official government domain (fairfieldtown-ut.gov)
Established domain age
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Town of Fairfield

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(86%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'fairfieldtown-ut.gov' is registered without a subdomain. Count 16 characters in 'fairfieldtown-ut' split between 6 vowels and nine consonants, along with 1 hyphen. It segments into 3 words: fairfield, town, ut. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fairfieldtown-ut.gov/

Page Load Overview

8.88s
Total Load Time
65
HTTP Requests
16
Domains
7.0 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
Text Length:4,912 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
86%
news media journalism
58%
entertainment media
56%
government
48%
technology software
37%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
65142.250.185.147United States
AS15169GOOGLE
0188.114.97.3United States
AS13335CLOUDFLARENET
0138.201.199.88Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
0104.17.25.14United States
AS13335CLOUDFLARENET
079.127.216.203Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
0216.58.206.91United States
AS15169GOOGLE
0172.67.183.251United States
AS13335CLOUDFLARENET
0216.58.206.74United States
AS15169GOOGLE
0151.101.65.229San Francisco, California, United States
AS54113FASTLY
0185.199.111.153United States
AS54113FASTLY
65110--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A73D73190F1013B14A390C876B57B4BE7A1E10FDB5B4A8476FD67889FCBDD18A6B218

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OKzn1QrFb1IIz5ZOsDPJAH855AHfNwAH2XXCdWWeJ6x0AN4Q:AAN4Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:77303:vKooQ5GAHC+DHOQqEEABAgdFiXouCgYtQmsAgxQiMkOCiEEJIeAOGYlAAEQIVLAQgAgCBGhcrlhXUAQCASFqBrEMVSKAhjQG

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:fd061e0200ff9f9f
Perceptual Hash:9c03bee27cecc03a
Difference Hash:91defac65f313333
Wavelet Hash:fd0e080200ff9f9f
Color Hash:#d27992

Scan History

Scan history not available

Unable to load historical scan data