Security Scan Report: www.broadwaycomedyclub.com

Submitted: Nov 22, 2025, 7:11:13 AMCompleted: Nov 22, 2025, 7:14:47 AMpubliccompleted
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Summary

This website contacted 46 IPs in 2 countries across 15 domains to perform 80 HTTP transactions. The main domain is broadwaycomedyclub.com and was registered NaN years ago.

Submitted URL: https://www.broadwaycomedyclub.com/comedians/akaash-singh/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Long‑standing domain registration
No suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Akaash Singh - Broadway Comedy Club

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(68%)

Domain Information

The domain name 'www.broadwaycomedyclub.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The registrable portion 'broadwaycomedyclub' spans 18 characters holding 6 vowels versus twelve consonants. Word splitting yields 3 words: broadway, comedy, club. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.broadwaycomedyclub.com/comedians/akaash-singh/

Page Load Overview

2.06s
Total Load Time
80
HTTP Requests
15
Domains
2.4 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-US
Text Length:1,766 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media68% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
68%
documentation technical
49%
social media network
48%
e-commerce shopping
46%
finance banking
42%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2013.33.50.132New York, New York, United States
AS16509AMAZON-02
934.202.122.128Ashburn, Virginia, United States
AS14618AMAZON-AES
8104.16.174.226United States
AS13335CLOUDFLARENET
720.118.40.6Des Moines, Iowa, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
6216.58.206.40United States
AS15169GOOGLE
5142.250.186.36United States
AS15169GOOGLE
4142.250.184.195United States
AS15169GOOGLE
4216.239.32.36United States
AS15169GOOGLE
4104.17.25.14United States
AS13335CLOUDFLARENET
4142.250.184.227United States
AS15169GOOGLE
8046--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149532AF79C5D202901278942E5DCBB28D32AE127ED058CE433FC09499FA4FE966DF616

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sfeIFPain90Vv9LQh3fTg+ytCWuvkuo5vXnZ5bxz8:sfeIFPJn90Vv9LQNfTfytCWuvkuo5vXa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:61448:AJCLQmAlACFphhKvFFwokhzciMREMMCPlQiAGDYiyAoIkAnYTwAiyCwJEK4GwhZCAJCHzVVEJREgF4dEQgQis5wlfCuYUCQ5

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:0030707070707bff
Perceptual Hash:c040bb61be33bcf8
Difference Hash:9dc3a5e4a5d5d723
Wavelet Hash:007070787070ffff
Color Hash:#2d864a

Scan History

Scan history not available

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