Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is southwestuniversity.edu and was registered NaN years ago.
Submitted URL: https://www.southwestuniversity.edu/news/?id=audi-crooks-weight-loss-the-45-pound-transformation-from-250-to-205-that-shocked-the-ncaa-in-6-month-693664f804031
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no detected threats.
Safety Factors
Details
Page Title
404 Not Found
Scan Type
public
Language
UNKNOWN
Category
education
(90%)Domain Information
The domain 'www.southwestuniversity.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'www'. The second-level label 'southwestuniversity' is 19 characters long containing 7 vowels alongside twelve consonants. Splitting it apart reveals 2 words: southwest, university. The median word length lands at 9.5 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 |
|---|---|---|---|
| 2 | 69.194.179.138 | El Paso, Texas, United States | AS32505DWL-MAIN |
| 2 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 4 | 2 | - | - |
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
Scan history not available
Unable to load historical scan data