Security Scan Report: francisutah.gov

Submitted: Nov 21, 2025, 5:16:03 AMCompleted: Nov 21, 2025, 5:17:43 AMpubliccompleted
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Summary

This website contacted 90 IPs in 2 countries across 14 domains to perform 68 HTTP transactions. The main domain is francisutah.gov and was registered NaN years ago.

Submitted URL: https://francisutah.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain age 554 days (established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Town of Francis (City of Francis)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

You're looking at domain 'francisutah.gov' on the United States government-restricted top-level domain (.gov) with no subdomain. The registrable portion 'francisutah' spans 11 characters holding four vowels versus seven consonants. Tokenizing the label suggests two words: francis, utah. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.22s
Total Load Time
68
HTTP Requests
14
Domains
8.7 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:3,875 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
40%
blog personal website
29%
documentation technical
29%
education learning
29%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.250.184.219United States
AS15169GOOGLE
12104.17.24.14United States
AS13335CLOUDFLARENET
979.127.216.204Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
7104.21.60.49United States
AS13335CLOUDFLARENET
4142.250.186.74United States
AS15169GOOGLE
4142.250.186.99United States
AS15169GOOGLE
352.25.63.64Boardman, Oregon, United States
AS16509AMAZON-02
3142.250.184.243United States
AS15169GOOGLE
3104.16.175.226United States
AS13335CLOUDFLARENET
2216.239.34.36United States
AS15169GOOGLE
6890--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF73B63364E00537012352DC66A17F09BAD2E20BD76B8A88B6FD77598FC6CE1597B21C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:PFmzn1QH3VPv1nsipQNCxTqVNFlCNODDqcCtHkD2/DbV+bP3DYkUqOXITah4gpqs:Oi61NFjbAN4VQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76681:Ng5riBoVGsxDWFMEBUAGvAkAEUmhKpAISCMjpwASEhQkGqjjolDN2BEFwAZAQRwpMGOQ06YInX4cnhA0KmWJlzimIBKIDDgD

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:63ffe0010000ffff
Perceptual Hash:af4bd0282def7340
Difference Hash:967cc863ef0f530e
Wavelet Hash:42fff8010000ffff
Color Hash:#99c587

Scan History

Scan history not available

Unable to load historical scan data