[Deleted] #140451
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[Deleted] #140451
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Introduces a context-aware taint tracking mechanism to protect against arbitrary code execution during pickle deserialization. Core mechanism: - Added `security_ctx` struct to PyContext with deserialization_taint_counter - New internal API to track deserialization state: * _PyContext_IncrementDeserializationTaint() * _PyContext_DecrementDeserializationTaint() * _PyContext_IsDeserializationTainted() - Taint counter is incremented when entering pickle.loads() and decremented on exit (both success and error paths) - Taint state propagates to new contexts created during deserialization Design rationale: Extends PyContext (thread context) as it's the existing mechanism for context variables and is natively supported by higher-level concurrency models like asyncio. Storing the security state in the C struct prevents malicious user code from overriding or bypassing the protection. Protection via audit hooks: - When deserialization is active, blocks dangerous operations including: * System commands (os.system, subprocess.Popen) * Code execution (exec, compile) * File modifications and thread creation * Dynamic loading (ctypes) and network operations
- Updated `test_os_system_allowed_outside_pickle` to use `os.system('true')` for better clarity.
- Improved handling of event loop policies in `test_taint_cleared_on_error` to ensure proper cleanup.
- Removed outdated tests for `exec` and `compile` blocking, as they are no longer blocked.
- Introduced a new `HARDEN_MODE` configuration to control the behavior of deserialization security checks, allowing for warnings or errors based on the mode set via the `PYTHONHARDENMODE` environment variable.
- Fix failing tests
- Introduced a Dockerfile for building a Python environment based on Debian. - Configured essential packages and optimizations for Python installation. - Added a .dockerignore file to exclude unnecessary files and directories from the Docker context, improving build efficiency.
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