Security Scan Report: www.stfrancismn.gov

Submitted: Oct 22, 2025, 3:51:07 PMCompleted: Oct 22, 2025, 3:52:34 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is stfrancismn.gov and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Legitimate government site with no security concerns.

Safety Factors
Official government domain (stfrancismn.gov)
No credential or payment forms present
Page returns a standard 502 error, not malicious content
Domain age information unavailable

Details

Page Title

Home Page | St. Francis Minnesota

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(92%)

Domain Information

The domain 'www.stfrancismn.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The second-level label 'stfrancismn' is 11 characters long holding 2 vowels versus 9 consonants. Segmentation suggests 3 words: st, francis, mn. Median word length comes out to two characters. The linguistic tilt is Dutch for 'st'. Usage also turns up in French and Swedish contexts.

Screenshot

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

Page Load Overview

8.32s
Total Load Time
2
HTTP Requests
1
Domains
4 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:2,737 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
92%
government public service
90%
government
48%
entertainment media
35%
documentation technical
31%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2162.221.183.17Buffalo, New York, United States
AS16509AMAZON-02
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14D03E71358A18033036752C9B874B72AFFD7819BEA024A80F7EC954B6FD7D499C631DA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:KMi7VL/WCK7HV1wa39y8EF8XOnVD9l4Es6xD6jclk5OyxZ8aokGd:KMi7VL/WCK7Q8Q8BEs6R6jKk5OyxZckQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38239:JWgigMYoQoLwOZqBAmqzIJkQhcQ74gSGIgJ+EgCwiAMYoCyMCAQgsRgJoUVsFCWqFo9PYGBAwGIRRYCgUAEEYQM1AgTmZkQy

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:3fffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#409dbf

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data