Security Scan Report: danjacobs3.substack.com

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Submitted: Aug 4, 2026, 2:56:57 AMCompleted: Aug 4, 2026, 2:57:44 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is danjacobs3.substack.com and was registered NaN years ago.

Submitted URL: https://danjacobs3.substack.com/p/why-i-endorsed-francesca-hong

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: 94%

1
Risk Score

The page is a legitimate Substack article with no malicious signals.

Safety Factors
Established domain with long registration history
Hosted on reputable Substack platform
Content identified as article/blog with no phishing indicators
Domain age information unavailable

Details

Page Title

Why I Endorsed Francesca Hong - by Daniel Jacobs

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(74%)

Domain Information

Domain 'danjacobs3.substack.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'danjacobs3'. Count 8 characters in 'substack' with 2 vowels and 6 consonants. Tokenizing the label suggests two words: sub, stack. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://danjacobs3.substack.com/p/why-i-endorsed-francesca-hong

Page Load Overview

5.76s
Total Load Time
226
HTTP Requests
5
Domains
116 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:6,041 chars
Detector Agreement:80%

Website Classification

Primary Category

education learning74% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
74%
government public service
66%
documentation technical
65%
news/blog
45%
corporate
35%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
58142.251.20.94Google · CDNUnited States
AS15169Google LLC
5618.64.211.101Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
56151.101.130.217Fastly · CDNUnited States
AS54113Fastly, Inc.
56172.64.150.56Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2264--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T127042A21CC11C41F860288EEA6BEBF3D61CED01B5665DC98BCEC457413C6CB76E2B9A5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:fFLv6Lk6Lhs1LXpA6MRBFJ0OVgMQA0MVfwdNZs0Izwx1nsoDBu62Ybs7M2ZfOGvj:fw8x1sOs7dZfOGvugKU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184969:RIAIEgC6Al1IXCQY4AAahGBSbUDLGgfzrBRQ1gyEMVQisKAZCFIAJgaCGNJKwKAFI6CQITCxGoiMOyRBdAEegJ4IMtABBAiE

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:ffffe7c3c3c3efff
Perceptual Hash:b0ceda32657134ce
Difference Hash:8c18969e8e8e0e0c
Wavelet Hash:c4c7c3c3c3c3c3c3
Color Hash:#d279a0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data