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Security Scan Report: elizabethgilbert.substack.com

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Submitted: Oct 9, 2025, 10:52:29 PMCompleted: Oct 9, 2025, 10:53:48 PMpubliccompleted
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Summary

This website contacted 38 IPs in 2 countries across 8 domains to perform 171 HTTP transactions. The main domain is elizabethgilbert.substack.com.

Submitted URL: https://elizabethgilbert.substack.com/p/letters-from-love-with-special-guest-3c6

The Cisco Umbrella rank of the primary domain is #10,144 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Substack page with no security concerns.

Safety Factors
High Cisco Umbrella ranking
Hosted on reputable Substack platform
Content appears to be standard editorial material
Domain age information unavailable

Details

Page Title

LETTERS FROM LOVE — With Special Guest Lukas Gage!

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

travel tourism

(51%)

Domain Information

The domain 'elizabethgilbert.substack.com' uses the commercial generic top-level domain (.com) with subdomain 'elizabethgilbert'. Its registrable label 'substack' stretches across 8 characters holding 2 vowels versus 6 consonants. Word splitting yields 2 words: sub, stack. Median word length comes out to four characters. The linguistic tilt is Romanian for 'sub'. You will also see it in Swedish and Malay contexts.

Screenshot

Security scan screenshot of https://elizabethgilbert.substack.com/p/letters-from-love-with-special-guest-3c6

Page Load Overview

50.21s
Total Load Time
171
HTTP Requests
8
Domains
848 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:10,270 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism51% confidence
Type: spa
Method: ml+structural

All Detected Categories

travel tourism
51%
news/blog
45%
adult content
41%
entertainment media
37%
corporate
35%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2365.9.66.47United States
AS16509AMAZON-02
465.9.66.123United States
AS16509AMAZON-02
4146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
4216.58.206.35United States
AS15169GOOGLE
465.9.66.32United States
AS16509AMAZON-02
4104.18.37.200United States
AS13335CLOUDFLARENET
4172.64.150.56United States
AS13335CLOUDFLARENET
416.15.188.62Ashburn, Virginia, United States
AS14618AMAZON-AES
4151.101.66.217San Francisco, California, United States
AS54113FASTLY
4132.145.199.77Ashburn, Virginia, United States
AS31898ORACLE-BMC-31898
17138--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ADF309269D10D81F454248AF6BBFBF2D228D901B8561DCA4B8DCC87413C1D7B6F27EA6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0QJVD2LTsawBHowDhf5wwwKIwJzwUlaw0fwC4XwNBJw2qFblXCXuK6WwVXz7HoG/:0jsas9jmTCblXCXn6WmXz7xx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:158680:hGG5AhIAMAAIhB7RkFgYAQaJCWBiCNYEeE2ASoIgERuEiuEJAEBnRhq4ooIgNJI/SCoUjAwBAgnIawAkEEIgEEg9piWjsIoM

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:c4c7ffcfc3c7c3e7
Perceptual Hash:f05176764646ce4e
Difference Hash:8c1c101c1e1e8e0e
Wavelet Hash:40c3cfc7c3c3c3c3
Color Hash:#78663a

Other Hashes

Crop Resistant:8c1c101c1e1e8e0e

Scan History

Scan history not available

Unable to load historical scan data