Security Scan Report: amyexplains.substack.com

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Submitted: Completed: publiccompleted
This website contacted 69 IPs in 2 countries across 24 domains to perform 1183 HTTP transactions. The main domain is substack.com and was registered 16 years ago.

Submitted URL: https://amyexplains.substack.com/p/nara-smith-the-internets-greatest

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: 92%

1
Risk Score

Legitimate Substack news/blog article about influencer Nara Smith. Established top-10K domain, self-branded, no credential or payment forms, no Indicators of Compromise, YARA, or IDS hits.

Safety Factors (5)
Well-established publishing domain (~16 years old) with top-10K Cisco Umbrella ranking
Article/news content type (og:type=article) reporting on third parties rather than impersonating them
No credential harvesting: all forms are email newsletter signup/comment forms with only hidden state/referral fields
No malware, YARA, IDS, or threat-intelligence hits on the page or its resources
News/blog classification at 100% confidence with no substantive malicious category signal
Domain age information unavailable

Details

Page Title

Nara Smith, the internet's greatest troll - Amy Explains

Scan Type

public

Domain Name Analysis

Domain 'amyexplains.substack.com' uses the commercial generic top-level domain (.com) with subdomain 'amyexplains'. Count 8 characters in 'substack' split between two vowels and six consonants. Splitting it apart reveals 2 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://amyexplains.substack.com/p/nara-smith-the-internets-greatest

Page Load Overview

22.05s
Total Load Time
29.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:12,365 chars
Detector Agreement:80%

Website Classification

Primary Category

news/blog100% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
100%
corporate
70%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27172.64.150.56Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1718.64.211.30Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
17142.250.154.94Google · CDNUnited States
AS15169Google LLC
17151.101.130.217Fastly · CDNUnited States
AS54113Fastly, Inc.
17108.138.7.34Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1716.15.252.207Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1718.64.211.101Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1718.64.211.2Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
17192.178.183.94Google · CDNUnited States
AS15169Google LLC
1718.64.211.57Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
118369--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E05409B2C551841F464289ECA5BEBF2D71CBC22B9764DAF4BCEC453003C6C636E176A6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DOT++ox23P+Iwxz9tYn41+mGzKh4yR9J0KocmJxmF0dX3HayjCNAl/tpp97h8Nyr:Dkex041+mGzKhvh0KUIUYC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:293578:hA2JJQNEAgk0QoCMBgGEoDBkPGoiTSM8RABEgB5xPjQUHgMCKCAzFKgITlpN5AA0AfCKBAigFCE7EhkUmAoSKEQBGY2KGkDh

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:e6cfffc7ffe7e7e7
Perceptual Hash:b2dc6672d862ccd8
Difference Hash:0c16161e104d4d0e
Wavelet Hash:c0c3c3c3c7e7e701
Color Hash:#d2a679

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data