Summary
This website contacted 36 IPs in 2 countries across 10 domains to perform 149 HTTP transactions. The main domain is twocitiespizza.com and was registered NaN years ago.
Submitted URL: https://www.twocitiespizza.com/
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security concerns and appears legitimate.
Safety Factors
Details
Page Title
Two Cities Pizza | New York & Chicago Style Pizza
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
The domain 'www.twocitiespizza.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The core label 'twocitiespizza' covers 14 characters containing 6 vowels alongside 8 consonants. Word splitting yields three words: two, cities, pizza. The median word length lands at 5 characters. Most frequently, 'two' shows up in English. It also appears in Chinese (Pinyin) and Chinese (Zhuyin) 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 |
|---|---|---|---|
| 9 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 99.86.4.90 | United States | AS16509AMAZON-02 |
| 4 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 34.192.203.197 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 98.91.97.160 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 151.101.130.217 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 151.101.194.217 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 52.7.44.213 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 142.250.185.136 | United States | AS15169GOOGLE |
| 149 | 36 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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