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## Why The split filesystem policy stack already supports exact and glob `access = none` read restrictions on macOS and Linux. Windows still needed subprocess handling for those deny-read policies without claiming enforcement from a backend that cannot provide it. ## Key finding The unelevated restricted-token backend cannot safely enforce deny-read overlays. Its `WRITE_RESTRICTED` token model is authoritative for write checks, not read denials, so this PR intentionally fails that backend closed when deny-read overrides are present instead of claiming unsupported enforcement. ## What changed This PR adds the Windows deny-read enforcement layer and makes the backend split explicit: - Resolves Windows deny-read filesystem policy entries into concrete ACL targets. - Preserves exact missing paths so they can be materialized and denied before an enforceable sandboxed process starts. - Snapshot-expands existing glob matches into ACL targets for Windows subprocess enforcement. - Honors `glob_scan_max_depth` when expanding Windows deny-read globs. - Plans both the configured lexical path and the canonical target for existing paths so reparse-point aliases are covered. - Threads deny-read overrides through the elevated/logon-user Windows sandbox backend and unified exec. - Applies elevated deny-read ACLs synchronously before command launch rather than delegating them to the background read-grant helper. - Reconciles persistent deny-read ACEs per sandbox principal so policy changes do not leave stale deny-read ACLs behind. - Fails closed on the unelevated restricted-token backend when deny-read overrides are present, because its `WRITE_RESTRICTED` token model is not authoritative for read denials. ## Landed prerequisites These prerequisite PRs are already on `main`: 1. #15979 `feat(permissions): add glob deny-read policy support` 2. #18096 `feat(sandbox): add glob deny-read platform enforcement` 3. #17740 `feat(config): support managed deny-read requirements` This PR targets `main` directly and contains only the Windows deny-read enforcement layer. ## Implementation notes - Exact deny-read paths remain enforceable on the elevated path even when they do not exist yet: Windows materializes the missing path before applying the deny ACE, so the sandboxed command cannot create and read it during the same run. - Existing exact deny paths are preserved lexically until the ACL planner, which then adds the canonical target as a second ACL target when needed. That keeps both the configured alias and the resolved object covered. - Windows ACLs do not consume Codex glob syntax directly, so glob deny-read entries are expanded to the concrete matches that exist before process launch. - Glob traversal deduplicates directory visits within each pattern walk to avoid cycles, without collapsing distinct lexical roots that happen to resolve to the same target. - Persistent deny-read ACL state is keyed by sandbox principal SID, so cleanup only removes ACEs owned by the same backend principal. - Deny-read ACEs are fail-closed on the elevated path: setup aborts if mandatory deny-read ACL application fails. - Unelevated restricted-token sessions reject deny-read overrides early instead of running with a silently unenforceable read policy. ## Verification - `cargo test -p codex-core windows_restricted_token_rejects_unreadable_split_carveouts` - `just fmt` - `just fix -p codex-core` - `just fix -p codex-windows-sandbox` - GitHub Actions rerun is in progress on the pushed head. --------- Co-authored-by: Codex <noreply@openai.com>
npm i -g @openai/codex
or brew install --cask codex
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
If you want the desktop app experience, run
codex app or visit the Codex App page.
If you are looking for the cloud-based agent from OpenAI, Codex Web, go to chatgpt.com/codex.
Quickstart
Installing and running Codex CLI
Install globally with your preferred package manager:
# Install using npm
npm install -g @openai/codex
# Install using Homebrew
brew install --cask codex
Then simply run codex to get started.
You can also go to the latest GitHub Release and download the appropriate binary for your platform.
Each GitHub Release contains many executables, but in practice, you likely want one of these:
- macOS
- Apple Silicon/arm64:
codex-aarch64-apple-darwin.tar.gz - x86_64 (older Mac hardware):
codex-x86_64-apple-darwin.tar.gz
- Apple Silicon/arm64:
- Linux
- x86_64:
codex-x86_64-unknown-linux-musl.tar.gz - arm64:
codex-aarch64-unknown-linux-musl.tar.gz
- x86_64:
Each archive contains a single entry with the platform baked into the name (e.g., codex-x86_64-unknown-linux-musl), so you likely want to rename it to codex after extracting it.
Using Codex with your ChatGPT plan
Run codex and select Sign in with ChatGPT. We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Business, Edu, or Enterprise plan. Learn more about what's included in your ChatGPT plan.
You can also use Codex with an API key, but this requires additional setup.
Docs
This repository is licensed under the Apache-2.0 License.