Targeted Codex Prompts for Application Security Audits

X postLoicResource

Loic advises developers against relying on vague instructions like 'check my security' when using Codex, as generalised checks easily miss critical vulnerabilities. He shares four specific prompt templates addressing concrete security domains.

Key points

  1. Broad instructions such as 'find vulnerabilities' often fail to detect vulnerabilities that threaten user data.
  2. Prompt 1 targets data exposure and authorization: mapping API routes and server actions to verify authentication and ownership checks.
  3. Prompt 2 scans repositories for leaked API keys and secrets across client code, public environment variables, committed configs, logs, and build output.
  4. Prompt 3 inspects billing and subscriptions: ensuring prices and permissions are validated server-side and validating webhook signatures.
  5. Prompt 4 audits file upload handling: checking size limits, file types/extensions, executable storage locations, and access controls for private files.

Why it matters

AI coding assistants require clear context and constraints to be effective code auditors. Deconstructing security checks into dedicated, topic-specific prompts dramatically reduces blind spots compared to asking an AI to perform a blanket security review.

Analysis

The author highlights a practical limitation in how developers interact with LLMs for application security. General prompts often yield generic advice or shallow reviews. By focusing prompts on high-risk vectors—broken access controls, credential leaks, payment tampering, and insecure file handling—developers can guide the model to perform systematic, reproducible code reviews.

Original post

Loic

@LDT0545 · 6 November 2026

Stop telling Codex, "check my security." Stop telling Codex, "find vulnerabilities." Stop telling Codex, "make my app secure." A vague security check can miss the issues that put your users' data at risk. Here are 4 prompts you can copy and paste directly:

85 likes1 replies150 bookmarks10.1k views

View on X
More posts in the thread (4)
  1. 1. Find routes that expose user data Review this application for authorization flaws. Map the API routes and server actions that read, create, update, or delete user data. For each one, check whether the server verifies: • The user is authenticated • The user owns the
  2. 2. Check for leaked API keys and secrets Inspect this repository for secrets that may have been exposed. Check: • Client-side code and public environment variables • Committed configuration files and example files • Logs and error messages • Build output or source maps, if
  3. 3. Test payment and subscription access Review how this app decides whether a user has paid access. Check whether: • Prices and permissions are validated on the server • A user can unlock paid features by changing a request or client-side value • Webhook signatures are
  4. 4. Review file uploads Inspect every place where users can upload files. Check for: • Missing file size limits • Unsafe file types or misleading file extensions • Uploads stored where they can be executed • Private files accessible without authorization • Filenames or

Summary generated by AI (Gemini 3.8 Flash, 7 November 2026). It may contain errors – the original source is authoritative.

Similar in content, found by the AI search.

  • X post:Mario Zechner

    OpenAI Releases Codex Security CLI and TypeScript SDK

    Mario Zechner highlighted the open-source repository openai/codex-security, a CLI and TypeScript SDK developed by OpenAI to detect, validate, and remediate security vulnerabilities in codebases.

    94bookmarks10.6kviews

    AI & LLMs· Tool

  • X post:Tibo

    OpenAI Releases Codex Security CLI and TypeScript SDK

    OpenAI has open-sourced Codex Security, a tool designed to discover, validate, and remediate vulnerabilities in codebases. It provides a CLI, a TypeScript SDK, and support for multiple model providers.

    5.6kbookmarks736.6kviews

    AI & LLMs· Tool

  • Repository:cloudflare/security-audit-skill

    Cloudflare Open-Sources Security Audit Skill for Coding Agents

    Cloudflare's security-audit-skill is an open-source coding-agent workflow that orchestrates multi-phase security audits with independently verified, machine-readable findings.

    5.2kstarsJavaScript

    AI & LLMs· Tool

  • X post:Brais Moure

    Cloudflare Releases Open-Source Security Audit Skill for Coding Agents

    Brais Moure highlights the release of Cloudflare's 'security-audit-skill'. The tool turns coding agents into multi-phase security auditors and served as the foundation for Cloudflare's internal vulnerability discovery harness.

    3.4kbookmarks139.4kviews

    AI & LLMs· Tool

  • Repository:briiirussell/cybersecurity-skills

    Cybersecurity Skills: Security Workflows for AI Coding Agents

    An open-source repository provides structured cybersecurity skills for AI agents like Claude Code, Cursor, and Codex. It helps developers and security engineers run automated audits, dependency scans, and code reviews directly within agent workflows.

    479starsJavaScript

    AI & LLMs· Tool

Let's talk about your project

Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

Parts of this content were created with the assistance of AI.