Security Scan Report: inagarten.substack.com

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Submitted: Nov 25, 2025, 1:37:43 PMCompleted: Nov 25, 2025, 1:40:39 PMpubliccompleted
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Summary

This website contacted 26 IPs in 2 countries across 5 domains to perform 188 HTTP transactions. The main domain is inagarten.substack.com.

Submitted URL: https://inagarten.substack.com/

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

Legitimate Substack newsletter page with no security concerns.

Safety Factors
High Cisco Umbrella ranking
Hosted on reputable Substack platform
No credential or payment collection
No external suspicious links
Domain age information unavailable

Details

Page Title

Ina Garten | Barefoot Contessa | Substack

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(50%)

Domain Information

Within the commercial generic top-level domain (.com), 'inagarten.substack.com' is registered, featuring subdomain 'inagarten'. Its registrable label 'substack' stretches across 8 characters holding two vowels versus six consonants. Breaking it apart gives 2 words: sub, stack. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://inagarten.substack.com/

Page Load Overview

1.31s
Total Load Time
188
HTTP Requests
5
Domains
933 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:1,828 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media50% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
50%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17465.8.131.71United States
AS16509AMAZON-02
765.8.131.35United States
AS16509AMAZON-02
765.8.131.49United States
AS16509AMAZON-02
7151.101.2.217San Francisco, California, United States
AS54113FASTLY
765.8.131.63United States
AS16509AMAZON-02
72a04:4e42:400::729United States
AS54113FASTLY
72a04:4e42::729United States
AS54113FASTLY
72600:9000:208a:6600:4:b4b9:d3c0:93a1United States
AS16509AMAZON-02
72600:9000:208a:aa00:4:b4b9:d3c0:93a1United States
AS16509AMAZON-02
72600:9000:208a:5c00:4:b4b9:d3c0:93a1United States
AS16509AMAZON-02
18826--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF54D6258910D81F85434CAF77BABF3E208D805B81959C58F9ECCA3413C6CBB6F676A5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7sJVDog+12G0JfQ0Nn79bKsJqXWABz2wD/svh9y9wE9fL9AR9m39/z9hO92+cbAg:7Py7mTsObAkKvZY+cHx8MR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:304456:UAWUNlJwGgDEaAAgARGGQBYGAKcDBYoKrA9KYBUhURINkhEIMgIgFpIA6AdEOJElaI4GAMPJoKBKoG2koWQAmNCIQAayjIEN

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:fec7c7cff7e7e7ff
Perceptual Hash:b331c6c6ccda6466
Difference Hash:8c9e9e982e2e2d0a
Wavelet Hash:40c3c3cfc3c3c7c3
Color Hash:#933c1f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data