Security Scan Report: www.siouxfallslaw.com

Submitted: Oct 4, 2025, 2:34:42 PMCompleted: Oct 4, 2025, 2:35:32 PMpubliccompleted
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Summary

This website contacted 39 IPs in 4 countries across 14 domains to perform 59 HTTP transactions. The main domain is siouxfallslaw.com and was registered NaN years ago.

Submitted URL: https://www.siouxfallslaw.com/personal-injury/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate law‑firm site with minimal risk.

Safety Factors
Long domain age and well‑established registration date
Absence of malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Personal Injury Lawyers in Sioux Falls, South Dakota | Christensen Law Office, PC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(39%)

Domain Information

The domain 'www.siouxfallslaw.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'siouxfallslaw' stretches across 13 characters containing 5 vowels alongside eight consonants. Segmentation suggests 3 words: sioux, falls, law. Median word length is five characters. Most frequently, 'sioux' shows up in German. Usage also turns up in English and Chinese (Pinyin) contexts.

Screenshot

Security scan screenshot of https://www.siouxfallslaw.com/personal-injury/

Page Load Overview

9.79s
Total Load Time
59
HTTP Requests
14
Domains
1.2 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-US
Text Length:8,429 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service39% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
39%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21104.17.77.186United States
AS13335CLOUDFLARENET
1104.16.108.239United States
AS13335CLOUDFLARENET
113.33.220.227New York, New York, United States
AS16509AMAZON-02
1142.250.184.228United States
AS15169GOOGLE
120.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1104.16.111.239United States
AS13335CLOUDFLARENET
1150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
123.52.181.12Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
134.249.22.29Dublin, Leinster, Ireland
AS16509AMAZON-02
1104.17.76.186United States
AS13335CLOUDFLARENET
5939--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T163142A5F6F747836300B4284B869B718E2A49213DF4A0E92FEBCD3344BC69A5257729D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:SNCX3Xn4pd9dCq4gStNZpMS2CC84HStNZpMS2iHCq4AO2H18SzNZpMS2tC84Gs2K:KCX3Xn4pNTi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:196609:ICwm8nCAAEUMSACpWSmAStYQBIGIpIFUEqAUQiaRwDX4CYCCwUQXFKCIZcxx0BOEIBDIqkBBRURYzIAwAEGCAJAABrVSEIeo

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:3cfcfcf9f9f9f9ff
Perceptual Hash:cb56964ba529364b
Difference Hash:60702c333333132b
Wavelet Hash:389c80f99981b9df
Color Hash:#4d2d86

Scan History

Scan history not available

Unable to load historical scan data