Security Scan Report: francisutah.gov

Submitted: Nov 25, 2025, 5:03:50 PMCompleted: Nov 25, 2025, 5:06:21 PMpubliccompleted
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Summary

This website contacted 88 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

Legitimate municipal website with no detected security concerns.

Safety Factors
Established domain age (>180 days)
No credential or payment collection forms
No malicious Indicators of Compromise
Standard municipal content
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

The domain name 'francisutah.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The core label 'francisutah' covers 11 characters containing four vowels alongside seven consonants. Breaking it apart gives two words: francis, utah. Average segment length settles at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.47s
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
68142.250.185.219United States
AS15169GOOGLE
17142.250.185.187United States
AS15169GOOGLE
12104.17.24.14United States
AS13335CLOUDFLARENET
937.19.194.81Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
7172.67.191.165United States
AS13335CLOUDFLARENET
4142.250.185.74United States
AS15169GOOGLE
4142.250.186.131United States
AS15169GOOGLE
3142.250.186.83United States
AS15169GOOGLE
352.37.173.222Boardman, Oregon, United States
AS16509AMAZON-02
3104.16.175.226United States
AS13335CLOUDFLARENET
6888--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12373A73364E00537016352DC6AA17F09B6D2E20BD76B8A88B5FD77588FC6CE159BB21C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:PFmzn1Qf3CPv1nsipQNCxTqVNFlCNODDqcCtHkD2/DbV+bP3DYkUqOXITahVgpqq:di61NFjBAN4r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73782:FULmYMEFBAjhUgPGRBB4LGicAchFsAIQgbgXBB4mwAGi2hEIKrYzQiJBwLTMUBAgA1CwREAQCCmEhMGCIwQQw6UGhIkmUFDQ

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:af53d0282def7340
Difference Hash:967cc863ef0f530e
Wavelet Hash:42fff8010000ffff
Color Hash:#9ad279

Scan History

Scan history not available

Unable to load historical scan data