BUG: PyArray_BufferConverter is unsafe
See original GitHub issueThis function:
- Calls
PyObject_GetBuffer
- Extracts a data pointer
- Calls
PyBuffer_Release
- Returns the pointer to the caller
PyBuffer_Release
calls PyBufferProcs.bf_releasebuffer(PyObject *exporter, Py_buffer *view)
, which according to the docs may “free all memory associated with view
”, and gives no requirement that view
remains alive as long as exporter
.
So in principle a type that allocates a buffer for itself on the fly in bf_getbuffer
and deletes it when the last uses releases it will cause a use-after-free in numpy.
I don’t know if any implementers of the buffer protocol actually do this, but my reading of it is that they are permitted to.
Issue Analytics
- State:
- Created 4 years ago
- Comments:5 (5 by maintainers)
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Was going to open, but then went to lunch first: https://bugs.python.org/issue39471 I may look into proposing actually changes to the text. If we can agree on my interpretation, we can clean up very ugly and very slow code in the buffer protocol implementation (it currently slows down scalar math by 20+%). (EDIT: But I suppose only after Python fixes their ArgParse code 😦)
This is strange. I think I would like if the buffer interface specified that while the buffer struct fields (such as strides, etc.) get free’d by
PyBuffer_Release
the actual memory pointed to must be owned by the original object (this would solve our problem with the very annoying_dealloc_cached_buffer_info
). I think this is the intention and true, but…Now this function returns a
PyArray_Chunk
and not a buffer, so if you make the clarification that I say above, it is actually completely fine.