Security Scan Report: www.sturgismuseum.com

Submitted: Dec 31, 2025, 3:02:35 AMCompleted: Dec 31, 2025, 3:04:10 AMpubliccompleted
Loading additional data...

Summary

This website contacted 9 IPs in 1 country across 8 domains to perform 96 HTTP transactions. The main domain is sturgismuseum.com and was registered NaN years ago.

Submitted URL: https://www.sturgismuseum.com/class-of-2001-1/ben-nighthorse-campbell

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Standard informational content about a museum alumnus
No suspicious forms or external links
Domain age information unavailable

Details

Page Title

Ben Nighthorse Campbell

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(54%)

Domain Information

The domain 'www.sturgismuseum.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The registrable portion 'sturgismuseum' spans 13 characters split between five vowels and 8 consonants. Splitting it apart reveals two words: sturgis, museum. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.sturgismuseum.com/class-of-2001-1/ben-nighthorse-campbell

Page Load Overview

20.02s
Total Load Time
96
HTTP Requests
8
Domains
935 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:3,736 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service54% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
54%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
163.233.4.9Ashburn, Virginia, United States
AS14618AMAZON-AES
1034.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1065.8.131.76United States
AS16509AMAZON-02
10172.64.153.163United States
AS13335CLOUDFLARENET
1034.234.213.62Ashburn, Virginia, United States
AS14618AMAZON-AES
1034.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
10151.101.194.217United States
AS54113FASTLY
1034.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1065.8.131.125United States
AS16509AMAZON-02
969--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10A157CA42108593ECECB12DDB6567E1C65EC5427DCC2462EF4ED8E6C19E36F8128732B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:T6k51Z5RM7yhWljd829rMEUM8eNCm145FYW4BacE/EOlxYGkCt7fF+:T6M1ZI7XhUmN8MTGkCtLF+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:935564:NCAwCzYPKwCK4JUhYIIAF5Fy5GAYDIogowCNiMFeuBGpBJHC00qI+xR6WSQ5SCRkSYcSVgAAAWBKYAYFFlYIEcELQIAEAQYg

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:0000ffe7e7e7ffff
Perceptual Hash:b10d0d252d2d379f
Difference Hash:721e188e8e8e1e00
Wavelet Hash:0000cfc3c3c3e7ff
Color Hash:#bf40b3

Scan History

Scan history not available

Unable to load historical scan data