openai/codex-security

OpenAI's Codex Security CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities. npm:...

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Summary Information

Updated 43 minutes ago
Added to GitGenius on September 1st, 2026
Created on July 13th, 2026
Open Issues & Pull Requests: 198 (+0)
GitHub issues: Enabled
Number of forks: 771
Total Stargazers: 10,575 (+0)
Total Subscribers: 32 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.0 days
Mean response time: 5.0 days
90th percentile: 15.4 days
Tracked items: 106

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 95% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "area:cost" is answered fastest, typically in about 9 hours, while "priority:p2" waits about 4 days. Almost all tracked open issues have seen activity in the last three months. Only 11% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 62
New in 7 days: 5
Closed in 7 days: 4
Avg open age: 21 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 4
Closed in 7 days: 1
Comments in 7 days: 1
Events in 7 days: 3

Top labels

  • bug (71)
  • area:reports (23)
  • priority:p1 (21)
  • area:cli (20)
  • priority:p2 (20)
  • area:cost (16)
  • area:auth (9)
  • area:python (9)

Detailed Description

Codex Security is a CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities in code.

The tool addresses the challenge of identifying and remediating security issues by leveraging AI-powered code analysis. It scans codebases to detect vulnerabilities, validates findings to reduce false positives, and can suggest fixes. The approach combines automated scanning with AI review capabilities, allowing teams to integrate security checks into their development workflow. It supports both individual scans and bulk scanning of multiple repositories through containerized deployments.

Teams should adopt this tool if they want AI-assisted vulnerability detection integrated into their CI/CD pipeline or local development environment. It suits Node.js and TypeScript projects particularly well, given its native JavaScript package distribution. The tool offers a findings service that stores and deduplicates discovered vulnerabilities across scans, with a dashboard for reviewing results. It requires Node.js and Python to run, and supports multiple inference providers beyond OpenAI's default offering. Some advanced security features require approval through a separate Trusted Access program.

The project maintains active development with both CLI and SDK implementations in TypeScript. It provides containerized scanning infrastructure via Docker Compose for scaling across multiple repositories. The tool includes a preview findings service with SQLite-backed storage, duplicate detection through embedding similarity, and a read-only dashboard interface. Support for alternative inference providers indicates ongoing flexibility in the underlying architecture.