Summary
This website contacted 5 IPs in 2 countries across 6 domains to perform 34 HTTP transactions. The main domain is ims.unm.edu and was registered NaN years ago.
Submitted URL: https://medinst.unm.edu
Effective URL: https://ims.unm.edu/Redirected
The Cisco Umbrella rank of the primary domain is #60,226 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate university institute page with no detected threats.
Safety Factors
Details
Page Title
Institute for Medieval Studies | The University of New Mexico
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Within the sponsored educational top-level domain (.edu), 'medinst.unm.edu' is registered, featuring subdomain 'medinst'. Its registrable label 'unm' stretches across 3 characters split between 1 vowel and two consonants. Breaking it apart gives two words: un, m. Median word length comes out to 1.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 13 | 129.24.172.128 | Albuquerque, New Mexico, United States | AS3388University of New Mexico |
| 13 | 64.106.65.134 | Los Alamos, New Mexico, United States | AS3388University of New Mexico |
| 13 | 104.16.41.28 | Germany | |
| 13 | 142.251.13.97 | Germany | |
| 13 | 142.251.13.136 | Germany | |
| 65 | 5 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Scan History
Scan history not available
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