--- 格式版本: 2 标题: "Run a Codex Security scan | ChatGPT Learn" 原文链接: "https://developers.openai.com/codex/security/plugin/scans" 发布日期: "2026-08-16" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "rule:local:strict_original_body" 发布时间证据: "Published Time: Sun, 16 Aug 2026 07:38:29 GMT" 发布时间校准原因: "规则确认唯一严格发布时间，来源 local:strict_original_body" 发布时间校准置信度: "high" 发布时间候选数量: 4 发布时间严格候选数量: 1 发布时间原页读取状态: "source template page reused from URL open" 发布时间未找到原因: "" 发布时间校准时间: "2026-08-17T00:08:15+08:00" 发布时间仲裁状态: "skipped" 发布时间仲裁尝试次数: 0 发布时间仲裁耗时毫秒: 0 发现时间: "2026-08-16T23:54:06+08:00" 入库时间: "2026-08-16T16:08:15.517Z" 来源平台: "固定入口" 搜索渠道: "fixed_url" 搜索词: "https://developers.openai.com/blog" 匹配关键词: - "deployment" - "performance" - "latency" - "throughput" - "AI" 相关厂家: - "OpenAI" - "Microsoft" - "AWS" - "Google" - "Oracle" 相关专家: [] 内容类型: "网页" 抓取工具: "Jina Reader" 清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 5 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "该页面为OpenAI文档导航入口，仅含目录和链接，无任何超节点/AI Rack相关技术或商业内容，明显无关。" AI质检模型: "tx-deepseek-v4-flash" AI质检时间: "2026-08-17T00:08:41+08:00" AI主题相关性: 0 AI来源权威性: 5 AI新颖性: 0 AI技术细节: 0 AI商业部署信号: 0 AI完整性: 0 AI摘要: "OpenAI 官方文档页介绍如何运行 Codex Security 安全扫描，入口位于 Codex 安全插件的 scans 文档；页面主要提供了 Codex、API 和 ChatGPT 相关文档导航，未展示具体扫描步骤。" AI摘要模型: "ali-deepseek-v4-flash" AI摘要时间: "2026-09-07T03:28:58.883Z" 采集批次: "2026年8月16日20点37分10秒" 采集批次ID: "20260816-203710-016" 去重键: "https://developers.openai.com/codex/security/plugin/scans" --- Title: Run a Codex Security scan | ChatGPT Learn URL Source: https://developers.openai.com/codex/security/plugin/scans Published Time: Sun, 16 Aug 2026 07:38:29 GMT Markdown Content: For the complete documentation index, see [llms.txt](https://developers.openai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to the page URL. 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reports](https://developers.openai.com/codex/security/plugin/vulnerability-reports) * [Export and track findings](https://developers.openai.com/codex/security/plugin/export-findings) * [Changelog](https://developers.openai.com/codex/security/plugin/changelog) * Codex Security CLI * [Quickstart](https://developers.openai.com/codex/security/cli) * [Run bulk scans](https://developers.openai.com/codex/security/cli/bulk-scans) * [Run scans in CI](https://developers.openai.com/codex/security/cli/ci) * [Reference](https://developers.openai.com/codex/security/cli/reference) * [FAQ](https://developers.openai.com/codex/security/cli/faq) * [TypeScript SDK](https://developers.openai.com/codex/security/sdk) * Codex Security cloud * [Setup](https://developers.openai.com/codex/security/setup) * [Security Review](https://developers.openai.com/codex/security/security-review) * [Improving the threat model](https://developers.openai.com/codex/security/threat-model) * [FAQ](https://developers.openai.com/codex/security/faq) ### Cyber safety * [Models & Trusted Access](https://developers.openai.com/codex/cyber-safety) * [Recommended configuration](https://developers.openai.com/codex/cyber-safety/recommended-configuration) Copy Page # Run a Codex Security scan Scan an authorized repository or one scoped folder and review findings, coverage, and artifacts. Copy Page Start with a standard Codex Security scan for an initial review or a routine repository or component assessment. It runs the full scan workflow once. For a more thorough assessment, review the results and then run a [deep scan](https://developers.openai.com/codex/security/plugin/deep-scans). Deep scans take longer and search more extensively. ## Choose the scan area In the desktop app, open **Security**, select **Scans**, and select **+ Scan**. Choose an existing repository or another folder, then select **Codebase**. Scan the whole repository when you need broad coverage and the repository is a reasonable review unit. For a monorepo, choose one folder when a service, package, or component has a clear owner and security boundary. You can also start a scan from a Codex conversation: `Use $codex-security:security-scan to scan this repository for security vulnerabilities.` To focus that conversation on a particular folder, identify the component: `Use $codex-security:security-scan to scan this repository for security vulnerabilities, focusing on the services/billing component.` For a large monorepo, start with one meaningful product or service boundary. ## Configure the scan For the best scan quality, use `gpt-5.6-sol` with `xhigh` reasoning effort. 1. Select **Codebase** and leave **Deep scan** off. 2. Confirm the selected repository, current branch, and latest revision. 3. Set **Scan area** to the entire repository or choose one folder. 4. Choose a model and reasoning effort. 5. Open **Additional context** only when it changes the review. Useful context names attacker-controlled inputs, trust boundaries, sensitive actions, or a specific area to prioritize. 6. Select **Start scan**. Add `SECURITY.md` to the repository root for persistent security guidance. Describe the threat model, security invariants, reportable finding criteria, exclusions, and severity context. Add nested `SECURITY.md` files for directory-specific guidance. When policies conflict, the file closest to the code takes precedence. Codex Security treats these files as policy context, not executable instructions. Use `AGENTS.md` for supported build and validation commands and other repository-specific instructions. ## Let the phases complete A scan runs these phases in order: 1. **Threat modeling** identifies assets, entry points, trust boundaries, and security invariants. 2. **Finding discovery** reviews the requested code for plausible broken controls and source-to-sink paths. 3. **Validation** tests or otherwise checks each candidate and records evidence or proof gaps. 4. **Impact and path analysis** evaluates each candidate’s realistic paths, impact, and severity. 5. **Reporting** records validated findings, coverage, and scan metadata. Detailed per-finding reports are available when requested. 6. **Structural hardening**, when requested, analyzes the finding set and creates design guidance. 7. **Finalization** validates the structured scan contract and generates `report.md`, including links to any detailed reports or hardening guidance. The workbench shows the active scan phase and any progress the plugin reports. Select **View activity** to inspect the Codex task. Wait for the complete result instead of judging early candidates or stopping because one phase takes longer than another. ## Review the completed scan Review the result in this order: 1. Confirm the target, revision, and scan area. 2. Read reviewed surfaces and every explicit deferred or follow-up area. 3. For each finding, inspect the root control or sink, attacker-controlled input, validation method, remaining uncertainty, realistic reachability, severity rationale, and proposed remediation. 4. Dismiss findings whose evidence doesn’t support the claimed path or impact. 5. Select one accepted finding before starting a fix. ![Image 2: Codex Security finding showing its severity, validation status, root cause, and attack path](https://developers.openai.com/_astro/finding-attack-path.CqCzT9ru.webp)![Image 3: Codex Security finding showing its severity, validation status, root cause, and attack path](https://developers.openai.com/_astro/finding-attack-path-dark.DtMysES8.webp) ![Image 4: Codex Security finding showing its severity, validation status, root cause, and attack path](https://developers.openai.com/_astro/finding-attack-path.CqCzT9ru.webp)![Image 5: Codex Security finding showing its severity, validation status, root cause, and attack path](https://developers.openai.com/_astro/finding-attack-path-dark.DtMysES8.webp) Review the finding’s severity, validation status, root cause, and attack path. ## Assess a first scan Before scanning, choose two to four evaluation criteria, such as independent discovery, evidence quality, false positives, or remediation quality. If you test against a known finding, record whether you provided it to Codex or withheld it from the scan. Record the repository revision, plugin version, model, and reasoning effort. Use this baseline to compare later scans after the code, security controls, or scan settings change. ## Choose a scan cadence Set your scan cadence based on the repository’s risk and your team’s capacity to address findings. Scan at these points: * **Baseline:** Run a standard scan when you onboard a repository, take ownership of a component, or need a starting point for a new threat model. * **Code changes:**[Review code changes](https://developers.openai.com/codex/security/plugin/code-changes) when a pull request or commit changes security-sensitive code or an external integration. * **Regular review:** Set a recurring review interval based on your system’s exposure and how often the code changes. Adjust it to your team’s capacity to address findings. * **After a fix:**[Fix and verify the finding](https://developers.openai.com/codex/security/plugin/fix-findings). Confirm that the issue no longer reproduces and keep the original scan for comparison. These scan triggers don’t create an automated schedule. ## Reopen a previous scan Open **Security**, then select a saved scan from **Scans** to review its findings, coverage, and available report artifacts. To assess the latest code, start a new scan for the same repository. The new scan doesn’t replace the earlier scan or its artifacts. ## Use the results Use the Security workbench to review findings, coverage, and follow-up areas without inspecting raw JSON. Open `report.md` when available for the readable entry point to the complete scan directory. Keep the directory together when you share or archive it: the report links to detailed reports in `findings/` and structural hardening guidance in `hardening/` when those optional artifacts are available. Behind the workspace, each scan preserves `scan-manifest.json`, `findings.json`, and `coverage.json` for automation and integrations. You normally don’t need to open these files yourself. For portable artifacts or external issue tracking, see [Export or track findings](https://developers.openai.com/codex/security/plugin/export-findings). ## Next step After you accept a finding, use [Fix and verify a finding](https://developers.openai.com/codex/security/plugin/fix-findings) to generate and review one bounded patch. Don’t ask Codex to fix every finding from a scan in one chat. [Previous Quickstart](https://developers.openai.com/codex/security/plugin)[Next Run a deep scan](https://developers.openai.com/codex/security/plugin/deep-scans) Ask AI ## Docs agent Loading docs agent...