Security Scan Report: likeandsubscribenews.substack.com

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Submitted: May 24, 2026, 3:44:18 PMCompleted: May 24, 2026, 3:47:01 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 6 domains to perform 169 HTTP transactions. The main domain is likeandsubscribenews.substack.com and was registered NaN years ago.

Submitted URL: https://likeandsubscribenews.substack.com/p/new-yorks-youtube-tv-moment-brandcast

The Cisco Umbrella rank of the primary domain is #9,753 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate Substack article with no malicious indicators.

Safety Factors
Established domain with long registration history
High reputation ranking in Cisco Umbrella
Hosted on reputable Substack platform
Page type is article (news/blog) with no brand impersonation
No malicious network or JavaScript behavior detected
Domain age information unavailable

Details

Page Title

New York’s YouTube TV Moment: Brandcast, Babish & NYT Cooking’s Glow-Up

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(87%)

Domain Information

You're looking at domain 'likeandsubscribenews.substack.com' on the commercial generic top-level domain (.com) and includes subdomain 'likeandsubscribenews'. Count 8 characters in 'substack' containing 2 vowels alongside six consonants. Segmentation suggests two words: sub, stack. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://likeandsubscribenews.substack.com/p/new-yorks-youtube-tv-moment-brandcast

Page Load Overview

90.22s
Total Load Time
208
HTTP Requests
8
Domains
1.4 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
Text Length:8,885 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network87% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
87%
entertainment media
85%
news/blog
45%
gambling betting
42%
blog personal website
35%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44151.101.66.217United States
AS54113Fastly, Inc.
41104.18.37.200United States
AS13335Cloudflare, Inc.
4118.64.211.2United States
AS16509Amazon.com, Inc.
41142.250.154.94United States
AS15169Google LLC
41157.240.0.174Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2085--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10824D7614C61C40F468198EA65FFFF1D60CED12B55B1CEE0BCEC887417C687B2A6BA61

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:D2wZCOxwAXjo4wxnsCEWb6q80/CDpqFS8YuemyKqn5syU9MvXhegf0kx/w:DhXWxnsdqx/CDpqkQ23w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:221628:Bi6QAgMFIKoENIAg49ECHqwYENtwiEMiDL7BF2gJ5qSSFDTYxUAyBSixAAAiiEEMIABAGNWOIAVcYAUWmmBUCUhAAUUnBBxI

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:ffffffc3c3c3c3e7
Perceptual Hash:b1cedb31c631ce30
Difference Hash:8c0e309696969e8e
Wavelet Hash:64c3c7c3c3c3c3c3
Color Hash:#772d86

Scan History

Scan history not available

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