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Security Scan Report: shss.umkc.edu

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Submitted: Oct 16, 2025, 2:18:05 PMCompleted: Oct 16, 2025, 2:19:56 PMpubliccompleted
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Summary

This website contacted 158 IPs in 5 countries across 44 domains to perform 156 HTTP transactions. The main domain is shss.umkc.edu and was registered NaN years ago.

Submitted URL: https://shss.umkc.edu/profiles/history/rebecca-davis.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Domain age over 36 years (well‑established)
Hosted on a university subdomain (umkc.edu)
Content is a standard faculty profile with no suspicious elements
Domain age information unavailable

Details

Page Title

Rebecca Miller Davis | Humanities and Social Sciences | University of Missouri - Kansas City

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain name 'shss.umkc.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'shss'. The core label 'umkc' covers 4 characters with one vowel and three consonants. Segmentation suggests 2 words: um, kc. Median word length comes out to 2 characters. Most frequently, 'um' shows up in Portuguese. Secondary signals appear in Portuguese (Brazil) and Icelandic. Overall, 'shss.umkc.edu' reads as Portuguese.

Screenshot

Security scan screenshot of https://shss.umkc.edu/profiles/history/rebecca-davis.html

Page Load Overview

54.39s
Total Load Time
156
HTTP Requests
44
Domains
2.7 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
Text Length:3,030 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
education learning
35%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
156142.250.186.106United States
AS15169GOOGLE
0216.58.206.68United States
AS15169GOOGLE
0172.217.18.8United States
AS15169GOOGLE
0134.193.139.72Kansas City, Missouri, United States
AS3390UMKCNET
0104.20.42.78United States
AS13335CLOUDFLARENET
0104.126.36.51Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0146.75.121.140Frankfurt am Main, Hesse, Germany
AS54113FASTLY
013.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0142.250.186.132United States
AS15169GOOGLE
0104.126.36.112Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
156158--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10C4318764F987036427645E8B073F60C269BA61FFC67DDA5F4DD84A83B80ECA580392D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4zPmP9oK0YZduBfRIMaeQYSWzYhwzgKcMS1h0:hSfRIk/8y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55370:EnGCM5MQY05iUkDrwIgQpCQCoIhCqo5RBAA8RAAkoAlSsAVYKQ2ABOKAEIZQRWghBAPGQQepSmXCBCYmIEWYwKGA1oSBIEBJ

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:0000ffc39f9ffffb
Perceptual Hash:bc43431e2da3ad93
Difference Hash:97a1072f2f262f02
Wavelet Hash:0000c3819f9ffff3
Color Hash:#2d8646

Other Hashes

Crop Resistant:97a1072f2f262f02,0616161616161606,5494ab5acbaa9b8b,879743609b85e109,0020880808087000,ccb6266667616092

Scan History

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