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recon-mattress-stores

Detect e-commerce platform misconfigurations and data exposures in mattress retail websites.

1.1k|191|Updated Jun 24, 2026
Search Tags:#e-commerce#pentesting#woocommerce#recon#store locator#mattress retail#financing api
One-click install
npx skills add https://github.com/uphiago/recon-skills --skill recon-mattress-stores
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: recon-mattress-stores
Source: https://github.com/uphiago/recon-skills/tree/main/redteam/recon-mattress-stores
Command: npx skills add https://github.com/uphiago/recon-skills --skill recon-mattress-stores

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manual reconnaissance of mattress retail and bedding e-commerce sites is inefficient, as these targets use niche platform configurations, financing integrations, and store locator implementations that require sector-specific checks to identify common security misconfigurations and data exposures.

Core Features & Use Cases

  • Sector-Specific Platform Fingerprinting: Automatically detect common e-commerce platforms used by mattress retailers, including Shopify, WooCommerce, BigCommerce, and Magento.
  • Financing API Exposure Detection: Identify misconfigured or exposed financing integration endpoints for Affirm, Klarna, Bread, and Synchrony that may leak API keys or allow unauthorized access.
  • Store Locator Data Leakage Checks: Scan for public store locator pages and APIs that expose internal PII such as manager names, email addresses, and phone numbers.
  • Use Case: A penetration tester assessing a DTC mattress-in-a-box brand can use this skill to quickly identify exposed WooCommerce REST API endpoints and leaked store manager PII, reducing initial recon time from hours to minutes.

Quick Start

Use the recon-mattress-stores skill to perform full sector-specific reconnaissance on the target mattress retail website, including platform fingerprinting, financing API discovery, and store locator data leakage checks.

Frequently Asked Questions about recon-mattress-stores

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find exposed financing API keys on WooCommerce mattress retail sites?▼

To find exposed financing API keys on WooCommerce mattress retail sites, you perform automated reconnaissance targeting sector-specific integrations like Affirm, Klarna, and Synchrony to detect misconfigured endpoints leaking unauthorized access credentials.

What is e-commerce store locator data leakage in mattress retail platforms?▼

E-commerce store locator data leakage in mattress retail platforms is the exposure of internal PII via public store locator pages and APIs, allowing attackers to scrape manager names, email addresses, and phone numbers during reconnaissance.

Can I detect checkout bypass vulnerabilities on Shopify and BigCommerce mattress stores?▼

Yes, you can detect checkout bypass and coupon logic vulnerabilities on Shopify and BigCommerce mattress stores by running automated sector-specific security checks designed for e-commerce platform fingerprinting and misconfiguration analysis.

How do I automate reconnaissance for DTC mattress-in-a-box brands?▼

You automate reconnaissance for DTC mattress-in-a-box brands by scanning target domains to identify exposed REST APIs, leaked financing endpoints, and store locator PII, reducing manual pentesting reconnaissance time from hours to minutes.

Does this reconnaissance approach work with Magento mattress and bedding retailers?▼

Yes, this reconnaissance approach works with Magento mattress and bedding retailers, automatically detecting platform configurations and sector-specific security misconfigurations across Magento, Shopify, WooCommerce, and BigCommerce environments.

What are the limitations of automated e-commerce pentesting recon for niche retail sectors?▼

Limitations of automated e-commerce pentesting recon for niche retail sectors include relying on predefined platform fingerprints for Shopify or WooCommerce, meaning highly customized mattress retail architectures may require supplementary manual reconnaissance to uncover deep misconfigurations.

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