Security Scan Report: www.stfrancismn.gov

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Submitted: Dec 24, 2025, 8:29:23 AMCompleted: Dec 24, 2025, 8:33:37 AMpubliccompleted
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Summary

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

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate government site with no detected threats.

Safety Factors
Official government domain (.gov)
Established domain age
Absence of credential or payment collection forms
No external links or third‑party resources
No malicious Indicators of Compromise detected
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

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 with 2 vowels and nine consonants. Segmentation suggests three words: st, francis, mn. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

252.04s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:2,537 chars
Detector Agreement:67%

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
34%
documentation technical
32%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1162.221.183.17Buffalo, New York, United States
AS16509AMAZON-02
11--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14603A7036CA15033026752C57865B72BEBD7815BEA034A40F7ECC6466FC6E459CAB2FE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:zyKi7VL/WCK7HVTwa39y8EF8XOnVD9l4EV6j6j/SotGyHqzZ+oYGHe1Y:zyKi7VL/WCK768Q8BEV6OjqotGyHqRYA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40209:mABIKp4XBChD0wUAIUABgA4LHBQOALAKAbDA0sgRnDyQaDQBLbsICRlxBAQ2BMAphasI2i6H5REJkEQwLklQAqQLAkIIAIAR

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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