Summary
This website contacted 107 IPs in 4 countries across 31 domains to perform 315 HTTP transactions. The main domain is visitbloomington.com and was registered NaN years ago.
Submitted URL: https://www.visitbloomington.com/restaurants/pizza/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Bloomington Pizza Restaurants | Dine In, Takeout & Delivery
Scan Type
public
Language
English
Category
entertainment media
(27%)Domain Information
Domain 'www.visitbloomington.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'visitbloomington' stretches across 16 characters split between six vowels and 10 consonants. Word splitting yields 2 words: visit, bloomington. Median word length comes out to 8 characters. The linguistic tilt is Chinese (Pinyin) for 'visit'. It also appears in Vietnamese and Catalan 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 |
|---|---|---|---|
| 103 | 162.159.128.61 | United States | AS13335CLOUDFLARENET |
| 2 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 142.250.185.106 | United States | AS15169GOOGLE |
| 2 | 104.18.26.50 | United States | AS13335CLOUDFLARENET |
| 2 | 142.250.186.42 | United States | AS15169GOOGLE |
| 2 | 146.75.120.84 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 23.35.236.196 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 104.18.29.155 | United States | AS13335CLOUDFLARENET |
| 315 | 107 | - | - |
Detected Technologies18
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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