Security Scan Report: thestandnyc.com

Submitted: Oct 12, 2025, 8:09:29 AMCompleted: Oct 12, 2025, 8:10:38 AMpubliccompleted
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Summary

This website contacted 53 IPs in 2 countries across 17 domains to perform 46 HTTP transactions. The main domain is thestandnyc.com and was registered NaN years ago.

Submitted URL: https://thestandnyc.com/comedians/michael-che

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site with no significant security concerns.

Safety Factors
Long‑standing reputable business (The Stand comedy club)
No malicious Indicators of Compromise
No payment or credential‑harvesting activity on a new or low‑reputation domain
All forms submit to the same domain with CSRF protection
Domain age information unavailable

Details

Page Title

Michael Che's Upcoming Shows | Comedians | The Stand Restaurant & Comedy Club in NYC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'thestandnyc.com' uses the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'thestandnyc' is 11 characters long holding 2 vowels versus 9 consonants. Word splitting yields 3 words: the, stand, nyc. Median word length comes out to 3 characters. The linguistic tilt is English for 'the'. It also appears in Chinese (Pinyin) and Indonesian contexts.

Screenshot

Security scan screenshot of https://thestandnyc.com/comedians/michael-che

Page Load Overview

35.56s
Total Load Time
46
HTTP Requests
17
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,764 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46104.21.82.167United States
AS13335CLOUDFLARENET
034.120.195.249Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
0216.239.34.36United States
AS15169GOOGLE
0157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
0172.67.75.245United States
AS13335CLOUDFLARENET
0216.58.206.74United States
AS15169GOOGLE
0151.101.130.217San Francisco, California, United States
AS54113FASTLY
0172.64.147.188United States
AS13335CLOUDFLARENET
0142.250.186.42United States
AS15169GOOGLE
0157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4653--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3D34A272951203ABD1FC5D251694A287D3F9E1FF5120DAFF4921DBC21C1BE430A7B66

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:YM1MAMGMuMjMrMvQMIHwc6mCk2lM1MAMGMuMjMrMvQMIagUNqT7XQFvwso0C1xN1:RQYT1a3SFWhZZcTtKaZ3WwXv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:142445:mLMGAXgIpQIQ4VUcQCwQA0JJ0HE8sFQUKgUFAiAAQAIMiCsVQKAiwUKDASHHAoEgg0+oKfEEChAnAQCQEAoFxMBjOOBoEAYg

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:001c1c3c3c3c14ff
Perceptual Hash:92183847e36dfb38
Difference Hash:61f8f0eccc4c7499
Wavelet Hash:001c1c3c3c7e3cff
Color Hash:#5dbf40

Scan History

Scan history not available

Unable to load historical scan data