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Proof, not guesswork

Practical guides on proving real exploits, securing AI-generated code, and testing the apps that scanners miss.

Concept

Proof of exploit: what it is and why it beats scanning

Reproducible evidence that a vulnerability is genuinely exploitable — not a list of maybes — and the mechanism that collapses false positives.

Guide

How to test an Electron app for security vulnerabilities

The high-risk areas in Electron — nodeIntegration, IPC, preload, ASAR, secrets and auto-update — and how to prove a finding is real.

Guide

How to check if a leaked API key is still active

A found key is not a live leak. How to safely confirm whether a leaked secret still works — with read-only calls, without leaking it again.

Analysis

Why so much AI-generated code is insecure

Studies keep finding 40–60% of AI-written code ships with a flaw. Why it happens, the vulnerabilities that show up most, and how to test it.

Concept

Proof of exploit vs proof of concept

One shows a bug could be exploited; the other proves it was, against the live target. A clear breakdown of the difference and when each is used.

Guide

Is your Supabase database exposed? How to check

An anon key in your frontend is normal — but with Row Level Security off, it can mean anyone reads your tables. How to check, safely.

Analysis

Why vulnerability scanners drown you in false positives

Most scanner findings are never exploitable. Why the noise is structural, what it costs, and how proof of exploit cuts it down.

Overview

AI security testing for AI-generated code

How an AI cybersecurity agent attacks your app in a sandbox, proves each vulnerability, and ships a verified fix.