`super.__new__(super)` can create an object that causes a NULL dereference in supercheck()
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Description
Crash report
What happened?
super.__new__(super) can create a super object whose internal type field is NULL. Using that object as a descriptor then causes a segmentation fault in supercheck().
Minimal reproducer:
s = super.__new__(super)
print(s)
s.__get__(1)
Output:
<super: <class 'NULL'>, NULL>
Segmentation fault (core dumped)
The one-line form also reproduces the crash:
super.__new__(super).__get__(1)
This is deterministic on the tested build.
A normal initialized super object does not crash:
class A:
pass
class B(A):
pass
s = super(B, B())
print(s.__get__(B()))
Output:
<super: <class 'B'>, ...>
GDB confirms the NULL dereference:
Program received signal SIGSEGV, Segmentation fault.
supercheck (type=0x0, obj=...)
at Objects/typeobject.c:12605
The crashing code is:
PyErr_Format(PyExc_TypeError,
"super(type, obj): obj (%s %.200s) is not "
"an instance or subtype of type (%.200s).",
type_or_instance, obj_str, type->tp_name);
Here type == NULL, so evaluating type->tp_name dereferences NULL.
The relevant call path is:
super.__new__(super)
-> PyType_GenericNew()
-> uninitialized super object (su->type == NULL)
-> super_descr_get()
-> supercheck(su->type, obj)
-> type->tp_name
-> SIGSEGV
PySuper_Type currently uses PyType_GenericNew as its tp_new, while initialization of the internal fields is performed separately by super_init. Therefore direct use of super.__new__(super) bypasses that initialization.
CPython versions tested on:
CPython main branch
Operating systems tested on:
Linux
Output from running 'python -VV' on the command line:
Python 3.16.0a0 (heads/audit-objects-phase1-dirty:c3aefdb9eff, Aug 7 2026, 19:38:01) [GCC 13.3.0]
Linked PRs
- gh-155379
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start in Objects/typeobject.c at supercheck(), then trace PySuper_Type's PyType_GenericNew and the separate super_init path described in the report. Use the reproducer with super.new(super).get(1) as regression coverage; done means it no longer crashes and reports an appropriate error instead.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- c, python
- Domain
- backend
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 25/100