Summary
This website contacted 47 IPs in 2 countries across 12 domains to perform 250 HTTP transactions. The main domain is cathycassaniadams.substack.com and was registered NaN years ago.
Submitted URL: https://cathycassaniadams.substack.com/p/how-to-cry-without-apologizing
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: 98%
Legitimate blog page with no security concerns.
Safety Factors
Details
Page Title
How to Cry Without Apologizing
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
Domain 'cathycassaniadams.substack.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'cathycassaniadams'. Its registrable label 'substack' stretches across 8 characters containing 2 vowels alongside 6 consonants. Segmentation suggests 2 words: sub, stack. Median word length is four characters. 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 |
|---|---|---|---|
| 20 | 52.222.236.19 | United States | AS16509AMAZON-02 |
| 5 | 52.222.236.50 | United States | AS16509AMAZON-02 |
| 5 | 52.222.236.83 | United States | AS16509AMAZON-02 |
| 5 | 151.101.2.217 | San Francisco, California, United States | AS54113FASTLY |
| 5 | 142.250.185.67 | United States | AS15169GOOGLE |
| 5 | 23.50.131.204 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 146.75.123.6 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 5 | 3.5.28.209 | United States | AS14618AMAZON-AES |
| 5 | 207.120.52.180 | Frankfurt am Main, Hesse, Germany | AS3356LEVEL3 |
| 5 | 104.18.37.200 | United States | AS13335CLOUDFLARENET |
| 250 | 47 | - | - |
Detected Technologies8
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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