`super.__new__(super)` can create an object that causes a NULL dereference in supercheck()
還沒有人認領這個 Issue。
- 主要語言
- Python
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- 77.2k
- 分支
- 35.9k
- PR 合併指標
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描述
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
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- 送出 Pull Request,並在描述裡引用這個 Issue 編號。
研究方向
從 Objects/typeobject.c 中的 supercheck() 開始,接著追蹤 PySuper_Type 的 PyType_GenericNew,以及報告中描述的獨立 super_init 路徑。使用 super.new(super).get(1) 的重現程式作為回歸涵蓋;完成的標準是它不再當機,而是回報適當的錯誤。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- c, python
- 領域
- backend
- Issue 類型
- 缺陷
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 活躍度
- 停滯
- 描述清晰度
- 描述清楚
- 新手友好度
- 25/100