Security Scan Report: saintpetermn.gov

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Submitted: Oct 17, 2025, 5:31:55 PMCompleted: Oct 17, 2025, 5:33:47 PMpubliccompleted
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Summary

This website contacted 28 IPs in 2 countries across 10 domains to perform 87 HTTP transactions. The main domain is saintpetermn.gov.

Submitted URL: https://saintpetermn.gov/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Saint Peter, MN | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

You're looking at domain 'saintpetermn.gov' on the United States government-restricted top-level domain (.gov). Count 12 characters in 'saintpetermn' containing four vowels alongside 8 consonants. Tokenizing the label suggests 3 words: saint, peter, mn. Median word length is five characters. 'saint' is most common in French usage. It also appears in English and Dutch contexts. Net impression: French phrase.

Screenshot

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

Page Load Overview

64.36s
Total Load Time
87
HTTP Requests
10
Domains
7.4 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:5,602 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
38%
news media journalism
32%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6216.239.34.36United States
AS15169GOOGLE
313.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3142.250.186.136United States
AS15169GOOGLE
3142.250.185.163United States
AS15169GOOGLE
3142.250.186.74United States
AS15169GOOGLE
3100.20.63.187Boardman, Oregon, United States
AS16509AMAZON-02
3216.58.206.46United States
AS15169GOOGLE
3216.239.32.36United States
AS15169GOOGLE
344.240.154.195Boardman, Oregon, United States
AS16509AMAZON-02
3104.18.28.155United States
AS13335CLOUDFLARENET
8728--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T144E339E0E69C2037402331D8E47B9748A57AC576F70B9C69FCBD12B19FD0DE185B21AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:js+qp5wnyZ2myXqHV0YLVRhf1S3ujtBTFu0QQnnTX+cipLn2O6Vdnz5BJtVs:jXKwUyXqHV0YLVRhf1S3ujtBTFu0QQnC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:143353:SAiQWCoAAoIBCCTAqzNUbAApxBhgDNnBTAQWQQAyHClKCGCCECghKoAIEGAFBAFlhBibAFNioJZVMbAUDhQGA5nogVdlpMwE

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

Scan History

Scan history not available

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