Summary
This website contacted 26 IPs in 2 countries across 5 domains to perform 212 HTTP transactions. The main domain is michaelmcfaul.substack.com.
Submitted URL: https://michaelmcfaul.substack.com/p/trump-is-demolishing-four-pillars
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%
Legitimate Substack article with no security concerns.
Safety Factors
Details
Page Title
Trump Is Demolishing Four Pillars of American Power
Scan Type
public
Language
English
Category
news/blog
(100%)Domain Information
Domain 'michaelmcfaul.substack.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'michaelmcfaul'. The core label 'substack' covers 8 characters holding 2 vowels versus six consonants. It segments into 2 words: sub, stack. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 194 | 65.8.131.63 | United States | AS16509AMAZON-02 |
| 8 | 65.8.131.71 | United States | AS16509AMAZON-02 |
| 8 | 172.64.150.56 | United States | AS13335CLOUDFLARENET |
| 8 | 65.8.131.35 | United States | AS16509AMAZON-02 |
| 8 | 151.101.194.217 | San Francisco, California, United States | AS54113FASTLY |
| 8 | 65.8.131.49 | United States | AS16509AMAZON-02 |
| 8 | 2600:9000:208a:9400:4:b4b9:d3c0:93a1 | United States | AS16509AMAZON-02 |
| 8 | 2a04:4e42::729 | United States | AS54113FASTLY |
| 8 | 2600:9000:208a:6600:4:b4b9:d3c0:93a1 | United States | AS16509AMAZON-02 |
| 8 | 151.101.66.217 | San Francisco, California, United States | AS54113FASTLY |
| 212 | 26 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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