ScanMalware.com

Security Scan Report: www.welcomestack.org

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/79f69fb5-c5ba-4620-88c8-7d67ac7accf9Domain and IP registration (RDAP)/api/v1/rdap/79f69fb5-c5ba-4620-88c8-7d67ac7accf9How often this domain was scanned/api/v1/domain/stats/welcomestack.orgScan history for this domain/api/v1/domain/history/welcomestack.org?limit=15
This website contacted 18 IPs in 3 countries across 13 domains to perform 547 HTTP transactions. The main domain is welcomestack.org and was registered 3 years 3 months ago.

Submitted URL: https://www.welcomestack.org/p/what-should-we-make-of-the-midterm

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate Substack newsletter post with an embedded video interview on midterm polling. No credential or payment forms, no threat-intel, hunting rule or IDS malware/phishing hits; established 3-year-old domain.

Safety Factors (4)
Established domain (3+ years old) with article-type metadata and coherent editorial content
No credential or payment collection — only newsletter email subscribe and comment forms on the site's own origin
No Indicators of Compromise, hunting rule, kit-roster, or malicious JavaScript signals
Third-party scripts are all top-ranked, recognizable infrastructure (Mux, Fastly, Google Fonts, Sentry, Cloudflare Insights, Substack S3)
Domain age information unavailable

Details

Page Title

What Should We Make of the Midterm Polling?

Scan Type

public

Domain Name Analysis

Within the non-profit oriented generic top-level domain (.org), 'www.welcomestack.org' is registered, featuring subdomain 'www'. Count 12 characters in 'welcomestack' with four vowels and eight consonants. Tokenizing the label suggests two words: welcome, stack. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.welcomestack.org/p/what-should-we-make-of-the-midterm

Page Load Overview

2.59s
Total Load Time
144.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,917 chars
Detector Agreement:80%

Website Classification

Primary Category

news media journalism62% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
62%
government public service
60%
social media network
59%
education learning
53%
blog personal website
52%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37172.64.151.232Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3018.64.211.101Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
30192.178.183.94Google · CDNUnited States
AS15169Google LLC
30151.101.2.217Fastly · CDNUnited States
AS54113Fastly, Inc.
30104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
30104.18.37.200Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3016.15.245.138Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
30146.75.122.132Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3046.246.94.234Sweden
AS42708Glesys AB
3046.246.94.235Sweden
AS42708Glesys AB
54718--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D0744D32C962553E8A4389E4B5BBBF0E61CFC0279395C958FDFC0A3003CAC975A576A5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:EG7o+u2RPN5MybmtoV0hL4e/TUnf2ppDQzyXy8n0/WgzyXyv/WytIM:Eh+lr4hLno2pxQzyXy8mzyXyXtIM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:339261:hA1EhUUjJOpzUAKcOgsCEF0RSAEgUjkIRAhJAMACVaosrhxyLoQsSIT4A1EIABIABgoYyDBRFAqOSA6vBkjQbzCkGFUSBASO

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:ff3020202004ffff
Perceptual Hash:c246bcb4e1b931e5
Difference Hash:cce5d4d5c4dc3a32
Wavelet Hash:ff3024242004ffff
Color Hash:#d22d9b

Other Hashes

Crop Resistant:cce5d4d5c4dc3a32,6371696d6d69696d,1111110121019191

Scan History

Scan history not available

Unable to load historical scan data