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Security Scan Report: frasernelson.substack.com

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Submitted: Nov 3, 2025, 12:57:01 AMCompleted: Nov 3, 2025, 12:58:10 AMpubliccompleted
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Summary

This website contacted 26 IPs in 2 countries across 5 domains to perform 207 HTTP transactions. The main domain is frasernelson.substack.com and was registered NaN years ago.

Submitted URL: https://frasernelson.substack.com/p/to-cancel-a-prince

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Uses reputable Substack hosting
Only collects email addresses for newsletter subscription
Domain age information unavailable

Details

Page Title

To cancel a Prince - Fraser Nelson's notebook

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(50%)

Domain Information

Within the commercial generic top-level domain (.com), 'frasernelson.substack.com' is registered with subdomain 'frasernelson'. Its registrable label 'substack' stretches across 8 characters split between 2 vowels and 6 consonants. Tokenizing the label suggests 2 words: sub, stack. Median word length comes out to four characters. 'sub' is most common in Romanian usage. It also appears in Swedish and Malay contexts.

Screenshot

Security scan screenshot of https://frasernelson.substack.com/p/to-cancel-a-prince

Page Load Overview

28.68s
Total Load Time
207
HTTP Requests
5
Domains
616 KB
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:9,233 chars
Detector Agreement:80%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
corporate
35%
social media network
33%
news media journalism
32%
entertainment media
32%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32142.251.140.163United States
AS15169GOOGLE
765.9.66.123United States
AS16509AMAZON-02
7172.64.150.56United States
AS13335CLOUDFLARENET
7104.18.37.200United States
AS13335CLOUDFLARENET
7151.101.66.217San Francisco, California, United States
AS54113FASTLY
765.9.66.110United States
AS16509AMAZON-02
765.9.66.32United States
AS16509AMAZON-02
7151.101.194.217San Francisco, California, United States
AS54113FASTLY
7151.101.130.217San Francisco, California, United States
AS54113FASTLY
765.9.66.47United States
AS16509AMAZON-02
20726--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17C240722C811D41F860389EDB6BEBF2D61CEC01B8665DC68BDEC857413C1CB76E5B6A1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0TJOJVDgDL4ijeFv6liOgBC60wBHVwDiW9O9oT9HV9Ui9+89Pn9ND9WTr9yX55eB:0TJiFv6ld49yJ5e2gQMx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:215560:SbRYEmbaDIABKBQ2QQBEBCQBJFRhGqoigGQChrCYwA4AOAWB4DKqhCEAAA0gFuyBSZGiOQ+sAoJoMTTFuBEcA0SKLooAjBio

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:feffffc3c3c3e7ff
Perceptual Hash:e4da9a6462d866ce
Difference Hash:0c1c0e8e86861e2a
Wavelet Hash:c4c7c3c3c3c3c3c3
Color Hash:#c5879e

Other Hashes

Crop Resistant:0c1c0e8e86861e2a,a6e6260786921626

Scan History

Scan history not available

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