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Make inspect.signature expression evaluation more powerful #68155

Open larryhastings opened 9 years ago

larryhastings commented 9 years ago
BPO 23967
Nosy @ncoghlan, @larryhastings, @zware, @serhiy-storchaka, @1st1, @pdmccormick
Files
  • larry.improved.signature.expressions.1.txt
  • pdm-argument_clinic-mixed_py_and_c_defaults-v1.patch: Argument Clinic patch simplifying the use of the improved signatures
  • larry.improved.signature.expressions.2.txt
  • larry.improved.signature.expressions.3.txt
  • Note: these values reflect the state of the issue at the time it was migrated and might not reflect the current state.

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    GitHub fields: ```python assignee = 'https://github.com/larryhastings' closed_at = None created_at = labels = ['type-feature', 'library'] title = 'Make inspect.signature expression evaluation more powerful' updated_at = user = 'https://github.com/larryhastings' ``` bugs.python.org fields: ```python activity = actor = 'brett.cannon' assignee = 'larry' closed = False closed_date = None closer = None components = ['Library (Lib)'] creation = creator = 'larry' dependencies = [] files = ['39047', '39066', '39123', '39181'] hgrepos = [] issue_num = 23967 keywords = ['patch'] message_count = 11.0 messages = ['241140', '241204', '241205', '241478', '241533', '241534', '241850', '241853', '241855', '242006', '365315'] nosy_count = 7.0 nosy_names = ['ncoghlan', 'larry', 'zach.ware', 'serhiy.storchaka', 'yselivanov', 'pdmccormick', 'Eric Wieser'] pr_nums = [] priority = 'normal' resolution = None stage = 'patch review' status = 'open' superseder = None type = 'enhancement' url = 'https://bugs.python.org/issue23967' versions = ['Python 3.5'] ```

    larryhastings commented 9 years ago

    Peter's working on converting socket to use Argument Clinic. He had a default that really should look like this:

        min(SOME_SOCKET_MODULE_CONSTANT, 128)

    "min" wasn't something we'd needed before. I thought about it and realized we could do a much better job of simulating the evaluation context of a shared module.

    Initially I thought, all I needed was to bolster the environment we used for eval() to add the builtins. (Which I've done.) But this wasn't sufficient because we deliberately used ast.literal_eval(), which doesn't support function calls by design for superior security. Or subscripting, or attribute access. We already worked around those I think.

    But how concerned are we about security? What is the attack vector here? If the user is able to construct an object that has a villainous __text_signature__ on it... surely they could already do as they like?

    So here's a first draft at modifying the __text_signature__ evaluation environment so it can handle much more sophisticated expressions. It can use anything from builtins, or anything in sys.modules, or anything in the current module; it can call functions, and subscript, and access attributes, and everything.

    To make this work I had to write an ast printer that produces evaluatable Python code. Note that it's not complete, I know it's not complete, it's missing loads of operators. Assume that if this is a good idea I will add all the missing operators.

    Nick was worried that *in the future* we might expose a "turn this string into a signature" function. That might make an easier attack vector. So he asked that the "trusted=" keyword flag be added, and the full-on eval only happen if the string is trusted.

    f01fba09-3ddd-4594-8305-c4144dca524c commented 9 years ago

    This definitely works for the _socket.listen use case!

    In terms of generating such a signature using Argument Clinic, currently this is required:

    backlog: int(py_default="builtins.min(SOMAXCONN, 128)", c_default="Py_MIN(SOMAXCONN, 128)") = 000

    The attached patch lets Tools/clinic/clinic.py make an exception when both C and Python defaults are specified, simplifying the above to:

    backlog: int(py_default="builtins.min(SOMAXCONN, 128)", c_default="Py_MIN(SOMAXCONN, 128)")
    f01fba09-3ddd-4594-8305-c4144dca524c commented 9 years ago

    I missed the fact that Larry's patch obviates the need for the builtins. prefix, shortening the Argument Clinic parameter specification into:

    backlog: int(py_default="min(SOMAXCONN, 128)", c_default="Py_MIN(SOMAXCONN, 128)")
    larryhastings commented 9 years ago

    I should mention that evalify_node() is pretty hacked up here, and is not ready to be checked in. (I'm proposing separately that we simply add something like this directly into the standard library, see issue bpo-24002.)

    larryhastings commented 9 years ago

    Thanks to bpo-24002 I now know how to write evalify_node properly. This patch is now much better.

    Note that I deliberately made the new function _eval_ast_expr() as a "private" module-level routine. I need that same functionality in Argument Clinic too, so if both patches are accepted I'll have Clinic switch to calling this version.

    larryhastings commented 9 years ago

    Whoops. Here's the revised patch.

    larryhastings commented 9 years ago

    Cleaned up the patch some more--the code was stupid in a couple places. I think it's ready to go in.

    serhiy-storchaka commented 9 years ago

    Using complex expressions is deceitful. In Python functions the default value is evaluated only once, at function creation time, but inspect.signature will evaluate it every time. For example foo(x={}) and foo(x=dict()) means the same in function declaration, but different in signature.

    It could also affect security, because allow arbitrary code execution at the place where it was not allowed before.

    I think this issue should be discussed on Python-Dev. I'm not sure that it is pythonic.

    larryhastings commented 9 years ago

    It's only used for signatures in builtins. Any possible security hole here is uninteresting because the evil hacker already got to run arbitrary C code in the module init.

    Because it's only used for signatures in builtins, we shouldn't encounter a function with a mutable default value like {} or [] which gets mutated later. Builtins don't have those.

    In case you're wondering about the "trusted" parameter, that was suggested by Nick Coghlan at the PyCon sprints. He's thinking that other callers may use _signature_fromstr() in the future, and he wanted the API to make it clear that future uses may be on non-trustworthy sources.

    And, finally, consider that the original version already calls eval(). Admittedly it uses eval() in a way that should be much harder to exploit. But it's not an enormous difference between the two calls.

    I don't really think we need to post to python-dev about this.

    ncoghlan commented 9 years ago

    Right, Larry and I had a fairly long discussion about this idea at the sprints, and I was satisfied that all the cases where he's proposing to use this are safe: in order to exploit them you need to be able to set __text_signature__ on arbitrary objects, and if an attacker can do that, you've already lost control of the process.

    However, a natural future extension is to expose this as a public alternative constructor for Signature objects, and for that, the fact that it ultimately calls eval() under the hood presents more of a security risk. The "trusted=False" default on _signature_fromstr allows the function to be used safely on untrusted data, while allowing additional flexibility when you *do* trust the data you're evaluating.

    b8d71def-6676-4c9e-9ea7-b05ffc11bbcb commented 4 years ago

    To make this work I had to write an ast printer that produces evaluatable Python code. Note that it's not complete, I know it's not complete, it's missing loads of operators. Assume that if this is a good idea I will add all the missing operators.

    Now that ast.unparse is in (bpo-38870), can this patch be simplified?

    serhiy-storchaka commented 1 month ago

    I myself have faced the need to use a complex expression ащк for the default value several times. For example os.name != 'nt'. Perhaps the only workaround is to define a module variable and refer to it. But I did not use it, because now pydoc falls back to display literal __text_signature__ if inspect.signature() fails to parse it.

    But using eval() may have bigger impact. There is an open signature for exposing signature parsing from text (#81678). __text_signature__ is now taken into account for pure Python functions too (initially it was used to provide more readable signature when the actual code uses *args, **kwargs to handle positional-only parameters before implementing the syntax for it). Now Argument Clinic allows to override the generated signature by @text_signature. And it is essential in some other cases. There is an open issue for exposing the signature in the XML-RPC (#57613), it will create a precedence for parsing signatures taken from the Net.