Security Scan Report: law2.umkc.edu

Redirected to: https://www.famous-trials.com/goetz

Submitted: Jan 20, 2026, 2:57:43 PMCompleted: Jan 20, 2026, 2:58:51 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is famous-trials.com and was registered NaN years ago.

Submitted URL: http://law2.umkc.edu/faculty/projects/ftrials/goetz/goetzchrono.html

Effective URL: https://www.famous-trials.com/goetzRedirected

The Cisco Umbrella rank of the primary domain is #90,011 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate informational page about a historical trial.

Safety Factors
Established domain (>365 days)
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.

Page Title

The Bernhard Goetz Trial: A Chronology

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

The domain name 'law2.umkc.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'law2'. The registrable portion 'umkc' spans 4 characters containing one vowel alongside three consonants. Word splitting yields two words: um, kc. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://law2.umkc.edu/faculty/projects/ftrials/goetz/goetzchrono.html

Page Load Overview

1.07s
Total Load Time
7
HTTP Requests
3
Domains
81 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-US
Text Length:356 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
documentation technical
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3134.193.117.2Kansas City, Missouri, United States
AS3390UMKCNET
2172.67.205.67United States
2134.193.139.55Kansas City, Missouri, United States
AS3390UMKCNET
73--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13EF25241F3F71B40917650ECB6661BA92B9107AF57875AB4332E2234AF8C87213A73DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lol5/1OugwFl+cEGq+tKWICT+rMysckd/r2w9B:lk5/1jgwKD+tKWNT+rMysckd/r2wb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36704:cIAABGDhVGhxvFIAAKIoCcSKDMmQwcC4HMo4hczZYjAQuKEAGCgQkBgcqBFCIYAgZQoqyUFUAOJBAQzQx7mQYF2lAIDMMTLK

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:e78181e7c7e7e7c7
Perceptual Hash:ba3f62e5d0c0871d
Difference Hash:4d0f371d1f1f1f1f
Wavelet Hash:e78181c7c7c3c3c3
Color Hash:#a06ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data