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

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

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