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Security: freema/codeforge

SECURITY.md

Security Policy

Reporting a vulnerability

Please report security issues privately, through GitHub Security Advisories. Do not open a public issue for anything exploitable.

CodeForge is maintained by one person, so please set expectations accordingly:

  • Acknowledgement within 7 days
  • An assessment, and a fix or a plan, within 30 days for anything confirmed
  • Credit in the advisory and release notes, unless you prefer otherwise

If you would rather not use GitHub, contact details are at tomasgrasl.cz.

Supported versions

Only the latest minor release receives security fixes. Fixes are not backported to earlier versions — upgrade to the current release.

Version Supported
1.1.x Yes
< 1.1 No

Threat model

Running a session means executing a repository's code and letting an AI CLI decide what else to run, with approvals disabled. Repository content is attacker-controlled input, and prompt injection from within a repository is a realistic path — not a theoretical one.

Current isolation: the AI CLI runs in the same container as the server, dropped to a non-root user. That is a privilege boundary, not isolation. There is no per-session container, VM, or network policy yet.

What the server does contain:

  • The CLI subprocess receives an allowlisted environment rather than the server's, so the encryption key protecting the credential registry, the operator token, webhook secrets and the Redis URL never enter a session (internal/tool/runner/env.go).
  • Git credentials are supplied through short-lived GIT_ASKPASS scripts that are removed before the CLI starts. Tokens never reach the URL or .git/config.
  • Webhook-triggered work from authors without write access is refused by default (code_review.allow_untrusted_authors).
  • Opening a pull request always requires an explicit action. This is a hard-coded invariant, not a configuration flag.

What it does not do yet: isolate sessions from each other, from the SQLite database on the shared filesystem, or from the network. Per-session sandboxing, a credential-injecting model proxy, default-deny egress and a read-only tool tier for untrusted authors are planned.

Deploying safely

Until per-session isolation lands:

  • Point CodeForge only at repositories where everyone with push or PR access is trusted, and treat the host as part of that trust domain.
  • Leave code_review.allow_untrusted_authors at its default of false.
  • Give the server its own host or VM. Do not run it alongside unrelated workloads, and never expose the Docker socket to it.
  • Pin a released image tag rather than tracking :latest, so upgrades are deliberate.
  • Scope provider tokens to the repositories that actually need them, and rotate them if a session ever behaves unexpectedly.

See Deployment and Configuration for the details.

Scope

In scope: anything letting an untrusted PR author or repository reach the server's credentials, other sessions, or the host. Authentication and tenant isolation bypasses. Credential leakage through logs, API responses, or the session environment.

Out of scope: the absence of per-session sandboxing, which is documented above and on the roadmap; issues requiring operator-level access you already hold; and vulnerabilities in the AI CLIs themselves, which belong with their vendors.

There aren't any published security advisories