Summary
This website contacted 62 IPs in 3 countries across 18 domains to perform 51 HTTP transactions. The main domain is sc.edu and was registered NaN years ago.
Submitted URL: https://sc.edu/study/colleges_schools/artsandsciences/sociology/our_people/faculty_staff_directory/quinn_joseph.php
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university faculty page with no security concerns.
Safety Factors
Details
Page Title
Joseph Quinn - Department of Sociology | University of South Carolina
Scan Type
public
Language
English
Category
education
(45%)Domain Information
Within the sponsored educational top-level domain (.edu), 'sc.edu' is registered and has no subdomain. Count 2 characters in 'sc' containing 0 vowels alongside 2 consonants. Word splitting yields 1 word: sc. The median word length lands at 2 characters. Most frequently, 'sc' shows up in Sinhala. You will also see it in English and Estonian contexts. Taken together, it feels Sinhala with single-word simplicity.
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 |
|---|---|---|---|
| 51 | 3.167.227.48 | United States | AS16509AMAZON-02 |
| 0 | 142.250.186.136 | United States | AS15169GOOGLE |
| 0 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 151.101.194.137 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 142.250.74.200 | United States | AS15169GOOGLE |
| 0 | 104.19.230.99 | United States | AS13335CLOUDFLARENET |
| 0 | 129.252.90.108 | Columbia, South Carolina, United States | AS12005SC-AS |
| 0 | 216.239.34.36 | United States | AS15169GOOGLE |
| 0 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 0 | 216.239.32.36 | United States | AS15169GOOGLE |
| 51 | 62 | - | - |
Detected Technologies12
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
Scan history not available
Unable to load historical scan data