Summary
This website contacted 16 IPs in 2 countries across 6 domains to perform 80 HTTP transactions. The main domain is security.uconn.edu and was registered NaN years ago.
Submitted URL: https://security.uconn.edu/incident-response-plan/
The Cisco Umbrella rank of the primary domain is #104,978 of the top 1 million websites
AI Security Verdict
Details
Page Title
Incident Response Plan | IT Security
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
Within the sponsored educational top-level domain (.edu), 'security.uconn.edu' is registered; it also runs on subdomain 'security'. The core label 'uconn' covers 5 characters containing 2 vowels alongside 3 consonants. Tokenizing the label suggests 1 word: uconn. Expect 5 characters per word on average. 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 |
|---|---|---|---|
| 69 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 20.209.146.161 | Washington, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 34.205.109.227 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 44.212.112.196 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 2620:1ec:46::44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 20.209.147.225 | Washington, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 5 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 5 | 2620:1ec:bdf::44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 80 | 16 | - | - |
Detected Technologies1
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
Other Hashes
Scan History
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