Summary
This website contacted 10 IPs in 2 countries across 4 domains to perform 374 HTTP transactions. The main domain is blog.valdosta.edu and was registered NaN years ago.
Submitted URL: https://blog.valdosta.edu/dlscott/fees/
The Cisco Umbrella rank of the primary domain is #501,339 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
National Park Fees | David and Kay Scott: Travel Writers
Scan Type
public
Language
English
Category
technology software
(82%)Domain Information
Domain 'blog.valdosta.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'blog'. Count 8 characters in 'valdosta' holding three vowels versus 5 consonants. Breaking it apart gives three words: valdo, st, a. Median word length comes out to two 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 |
|---|---|---|---|
| 337 | 168.18.170.45 | Valdosta, Georgia, United States | AS3479PEACHNET-AS3479 |
| 41 | 216.239.32.36 | United States | AS15169GOOGLE |
| 37 | 216.58.206.72 | United States | AS15169GOOGLE |
| 37 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 37 | 2a00:1450:4001:830::2004 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 37 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 37 | 2a00:1450:4001:813::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 142.250.185.136 | United States | AS15169GOOGLE |
| 1 | 142.250.186.36 | United States | AS15169GOOGLE |
| 374 | 10 | - | - |
Detected Technologies3
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
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