Security Scan Report: www.hellotickets.com

Submitted: Oct 14, 2025, 9:42:40 AMCompleted: Oct 14, 2025, 9:46:00 AMpubliccompleted
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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%

2
Risk Score

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
Displays New York Knicks branding on a non‑official domain (potential brand impersonation)
Safety Factors
Long‑standing domain registration
Absence of suspicious hosting (not on IPFS or cloud storage)
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

New York Knicks Tickets - Hellotickets

Scan Type

public

Language

🇺🇸

English

(50% confidence)

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

Security scan screenshot of https://www.hellotickets.com/us/new-york/sports/new-york-knicks-tickets/242

Page Load Overview

1.80s
Total Load Time
76
HTTP Requests
24
Domains
921 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:8,961 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7613.32.121.7New York, New York, United States
AS16509AMAZON-02
19104.26.1.116United States
AS13335CLOUDFLARENET
11150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
552.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4142.250.186.104United States
AS15169GOOGLE
3172.217.18.4United States
AS15169GOOGLE
3146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3142.250.186.163United States
AS15169GOOGLE
7687--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17724B530A71882FBA367C7D836614E1F61E2B71FE2464C887AFD5B840BC3CB96795485

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7FYYmxQ/ugJUI/8JDk9rUcQ9WdddddddXdddddddkC2WpeWWzEGQ6R+06FZdoiid:SJWrUcQ9WdddddddXdddddddjpeWW7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:226343:ExFCAcCUIEAEW1EXlcAemNQAAE0sJOihwwMWRCCTMkyaQoFQSoEjAEABcIjQQgDAxDt9QUAStKKmhAAAKUSACLKyriKENSip

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

Average Hash:3cdb818181fbfbff
Perceptual Hash:ec3cc6c73668426d
Difference Hash:e4333b3333233364
Wavelet Hash:3083818181f3fbff
Color Hash:#2d77d2

Scan History

Scan history not available

Unable to load historical scan data