Security Scan Report: umc.edu

Submitted: Mar 20, 2026, 2:31:23 AMCompleted: Mar 20, 2026, 2:33:14 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 114 HTTP transactions. The main domain is umc.edu and was registered NaN years ago.

Submitted URL: https://umc.edu

The Cisco Umbrella rank of the primary domain is #57,807 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site is a legitimate University of Mississippi Medical Center page with no security concerns.

Safety Factors
Established domain (>10 years)
Top‑100 k Cisco Umbrella ranking
No malicious Indicators of Compromise
No credential‑harvesting or payment forms
Meta tags consistent with the legitimate brand
Domain age information unavailable

Details

Page Title

Home page - University of Mississippi Medical Center

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(87%)

Domain Information

You're looking at domain 'umc.edu' on the sponsored educational top-level domain (.edu) with no subdomain. The core label 'umc' covers 3 characters split between 1 vowel and two consonants. Breaking it apart gives 2 words: um, c. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://umc.edu

Page Load Overview

13.22s
Total Load Time
141
HTTP Requests
8
Domains
6.7 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:9,353 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning87% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
87%
healthcare medical
73%
education
45%
government public service
44%
corporate
35%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36142.251.208.8United States
AS15169Google LLC
35157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
35188.114.96.3United States
35192.231.68.40Jackson, Mississippi, United States
AS395073University of Mississippi Medical Center
1414--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B93B42366E50127036742847EB1375DEA536007D60E6E5275AC2A1DBFC7F9A8B2338F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0gHn8h8UPSDIu7jL/NvLDONafkJSoF6Z97gLg35OBhshCBBHf1f1zll5qXOcAQod:Zr7P1KSoF6f7gs35OBhP1fbrt8smMbL7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:96104:HCSw7gKnpGQEEIegCMTQIJFiDBVeABQqMoKNCgGIZI0ATgYgGhVQEkCoADpBoMQgUEItmAYFFTjIQNwBTmnJAAAOSQCIqEEg

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:7f1708580000ffff
Perceptual Hash:800ca746f8cb5bf9
Difference Hash:f6e690b2b2a8c01b
Wavelet Hash:ff1708580000ffff
Color Hash:#bb6ce0

Scan History

Scan history not available

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