Summary
This website contacted 14 IPs in 2 countries across 6 domains to perform 71 HTTP transactions. The main domain is uvabookstores.com and was registered NaN years ago.
Submitted URL: https://www.uvabookstores.com/?srsltid=AfmBOopotHWZqkDghaEjesZ6Y5erKHGYWNxcSaWA_r6gmYAinGY1flfH
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
education learning
(56%)Domain Information
Within the commercial generic top-level domain (.com), 'www.uvabookstores.com' is registered with subdomain 'www'. The second-level label 'uvabookstores' is 13 characters long holding 6 vowels versus 7 consonants. Word splitting yields 2 words: uva, bookstores. The median word length lands at 6.5 characters. 'uva' most often appears in Italian. It also appears in Tagalog and Bosnian contexts.
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 |
|---|---|---|---|
| 5 | 142.250.186.170 | United States | AS15169GOOGLE |
| 5 | 104.20.46.41 | United States | AS13335CLOUDFLARENET |
| 5 | 142.250.185.74 | United States | AS15169GOOGLE |
| 5 | 92.123.104.64 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 142.250.185.163 | United States | AS15169GOOGLE |
| 5 | 92.123.104.34 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 142.250.186.136 | United States | AS15169GOOGLE |
| 5 | 2606:4700:10::6814:2e29 | United States | AS13335CLOUDFLARENET |
| 5 | 2a00:1450:4001:811::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2a00:1450:4001:830::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 71 | 14 | - | - |
Detected Technologies4
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
Unable to load historical scan data