Summary
This website contacted 87 IPs in 5 countries across 24 domains to perform 76 HTTP transactions. The main domain is hellotickets.com and was registered NaN years ago.
Submitted URL: https://www.hellotickets.com/us/new-york/sports/new-york-knicks-tickets/242
AI Security Verdict
Low Risk
Confidence: 85%
Page appears to be a legitimate third‑party ticket reseller with low risk, though it uses Knicks branding on a non‑official domain.
Risk Factors
Safety Factors
Details
Page Title
New York Knicks Tickets - Hellotickets
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Within the commercial generic top-level domain (.com), 'www.hellotickets.com' is registered; it also runs on subdomain 'www'. The registrable portion 'hellotickets' spans 12 characters holding 4 vowels versus eight consonants. It segments into 2 words: hello, tickets. Median word length comes out to six characters. 'hello' is most common in English usage. You may catch it in Chinese (Pinyin) and Tagalog as well.
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 |
|---|---|---|---|
| 76 | 13.32.121.7 | New York, New York, United States | AS16509AMAZON-02 |
| 19 | 104.26.1.116 | United States | AS13335CLOUDFLARENET |
| 11 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 142.250.186.104 | United States | AS15169GOOGLE |
| 3 | 172.217.18.4 | United States | AS15169GOOGLE |
| 3 | 146.75.120.176 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 142.250.186.163 | United States | AS15169GOOGLE |
| 76 | 87 | - | - |
Detected Technologies7
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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