ScanMalware.com

Security Scan Report: zoescaman.substack.com

Site favicon
Submitted: Dec 10, 2025, 1:49:35 AMCompleted: Dec 10, 2025, 1:50:56 AMpubliccompleted
Loading additional data...

Summary

This website contacted 26 IPs in 2 countries across 5 domains to perform 221 HTTP transactions. The main domain is zoescaman.substack.com.

Submitted URL: https://zoescaman.substack.com/p/the-palantir-model

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 article with no security concerns.

Safety Factors
Reputable hosting platform (Substack) with established reputation
No credential or payment collection forms
No suspicious external links or redirects
Domain age information unavailable

Details

Page Title

The Palantir Model - by Zoe Scaman

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(90%)

Domain Information

You're looking at domain 'zoescaman.substack.com' on the commercial generic top-level domain (.com), featuring subdomain 'zoescaman'. Count 8 characters in 'substack' with 2 vowels and 6 consonants. Breaking it apart gives two words: sub, stack. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zoescaman.substack.com/p/the-palantir-model

Page Load Overview

54.09s
Total Load Time
221
HTTP Requests
5
Domains
44.8 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:19,721 chars
Detector Agreement:80%

Website Classification

Primary Category

news/blog90% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
90%
corporate
70%
social_media
50%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21142.250.186.131United States
AS15169GOOGLE
854.192.35.11United States
AS16509AMAZON-02
854.192.35.104United States
AS16509AMAZON-02
854.192.35.100United States
AS16509AMAZON-02
8172.64.150.56United States
AS13335CLOUDFLARENET
854.192.35.66United States
AS16509AMAZON-02
8151.101.66.217San Francisco, California, United States
AS54113FASTLY
8104.18.37.200United States
AS13335CLOUDFLARENET
8151.101.130.217San Francisco, California, United States
AS54113FASTLY
82a04:4e42:600::729United States
AS54113FASTLY
22126--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B7440832C912D52F470388ECB6BFBF1D618AC02B4665DC58BCEC857413C6C676B6B6A1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/DXJVDNYHXvJArX/YJKDpJc7irjPwO1u3BrNBncwDQ9N9cG9rW9UA9eM9RL9JQ9J:/DyJ8D7sicr1h7py4nUySFHR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:260367:Fj8AMlAjLquIiJ2gggkAAISAAmBoAQUiQQAQgEIAUUQJiw0ieCuUB5ESA0B6laAgDXU8HAQpRAyuIEAoxFxQEBAaQEQTABCA

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:0000003c3c3c18ff
Perceptual Hash:8a25b50f9d19bd31
Difference Hash:636569696969690e
Wavelet Hash:1101013d3d3d3dff
Color Hash:#2d8684

Other Hashes

Crop Resistant:636569696969690e,31315353406c18c0,732fef6b1fbbf07a,7361076969696969

Scan History

Scan history not available

Unable to load historical scan data