Summary
This website contacted 82 IPs in 2 countries across 28 domains to perform 138 HTTP transactions. The main domain is siouxfalls.gov and was registered NaN years ago.
Submitted URL: https://www.siouxfalls.gov/
Effective URL: https://www.siouxfalls.gov/homeRedirected
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate city website with no security concerns.
Safety Factors
Details
Page Title
Home - City of Sioux Falls
Scan Type
public
Language
English
Category
government
(95%)Domain Information
You're looking at domain 'www.siouxfalls.gov' on the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The core label 'siouxfalls' covers 10 characters with 4 vowels and six consonants. Word splitting yields 2 words: sioux, falls. Expect five characters per word on average. Most frequently, 'sioux' shows up in German. You will also see it in English and Vietnamese contexts.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 31 | 95.101.111.176 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 15 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 11 | 34.120.15.67 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 9 | 2.16.168.38 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 34.120.202.204 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 18.172.114.101 | United States | AS16509AMAZON-02 |
| 6 | 146.75.120.217 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 6 | 52.223.40.198 | United States | AS16509AMAZON-02 |
| 5 | 35.190.43.134 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 216.239.34.36 | United States | AS15169GOOGLE |
| 138 | 82 | - | - |
Detected Technologies15
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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