Hacktoberfest 2026: as issues que os mantenedores marcaram para outubro, abertas e boas para iniciantes. Ver issues do Hacktoberfest

Segfault in contextvars HAMT during isolation_scope() / new_scope() with uvicorn multiprocessing workers

Aberta
#5,190 3 comentários 0 reações 1 responsável Ver no GitHub

@sl0thentr0py já está trabalhando nisso.

Desde 10/12/2025.

Avaliação

Esta issue ainda não foi avaliada.

Descrição

Bug Errors Python
How do you use Sentry?

Self-hosted/on-premise

Version

2.45.0

Steps to Reproduce

Environment

  • sentry-sdk version: 2.45.0
  • Python version: 3.10.x
  • OS: Linux (x86_64)
  • Framework: FastAPI + uvicorn with --workers 10 (multiprocessing spawn)
  • Event loop: uvloop 0.21.0

Problem

Workers crash with SIGSEGV when Sentry SDK calls _current_scope.set() inside isolation_scope() or new_scope(). The crash occurs in Python's HAMT (Hash Array Mapped Trie) implementation used by contextvars.

GDB analysis shows that the HAMT node pointer has been corrupted - it points to a PyFunctionObject (_safe_repr_wrapper from sentry_sdk/serializer.py) instead of a HAMT node. When Python tries to clone this "node", it reads the function's vectorcall field as if it were b_array, then crashes trying to Py_INCREF a C function pointer.

Stack trace:

#0  _Py_INCREF (op=0x7b4d9a872260 <_PyFunction_Vectorcall>) at ./Include/object.h:472
#1  _Py_XINCREF (op=0x7b4d9a872260 <_PyFunction_Vectorcall>) at ./Include/object.h:558
#2  hamt_node_bitmap_clone (node=0x7b4c301c7e20) at Python/hamt.c:583
#3  hamt_node_bitmap_assoc (...) at Python/hamt.c:771
#4  _PyHamt_Assoc (...) at Python/hamt.c:2308
#5  contextvar_set (var=0x7b4d9916a5c0, val=<Scope at remote 0x7b4c30d62b60>) at Python/context.c:738
#6  PyContextVar_Set (ovar=<_contextvars.ContextVar at remote 0x7b4d9916a5c0>, ...) at Python/context.c:285
...
#12 _PyEval_EvalFrame (...) for file sentry_sdk/scope.py, line 1785, in isolation_scope

Python stack trace

File "sentry_sdk/scope.py", line 1785, in isolation_scope
    current_token = _current_scope.set(forked_current_scope)
File "contextlib.py", line 135, in __enter__
    return next(self.gen)
File "sentry_sdk/integrations/asgi.py", line 198, in _run_app
    with sentry_sdk.isolation_scope() as sentry_scope:

Corrupted HAMT node:

(gdb) p *node
$2 = {
  ob_base = {ob_type = 0x7b4d9aa8a7a0 <PyFunction_Type>},
  b_bitmap = 2587471808,
  b_array = {'_safe_repr_wrapper'}  # Does not look like HAMT data
}

(gdb) p node->b_array[0]
$5 = '_safe_repr_wrapper'

(gdb) x/20x 0x7b4d9a872260
0x7b4d9a872260 <_PyFunction_Vectorcall>: ....

Sentry configuration

sentry_sdk.init(
    dsn=settings.SENTRY_DSN,
    traces_sample_rate=1.0,
    profiles_sample_rate=0.0,
    enable_tracing=True,
    send_default_pii=True,
    integrations=[
        FastApiIntegration(),
        HttpxIntegration(),
        AioHttpIntegration(),
        RedisIntegration(),
    ],
)

How to reproduce

  1. FastAPI app with sentry-sdk 2.45.0
  2. Run with uvicorn app:app --workers 10 (multiprocessing spawn)
  3. Send concurrent HTTP requests
  4. Workers eventually crash with SIGSEGV

Observations

  • Crash happens in spawned worker processes, not the main process
  • The corrupted pointer always points to Sentry SDK's _safe_repr_wrapper function or _PyFunction_Vectorcall
  • Workers that don't use Sentry SDK (different project, same infrastructure) don't crash
  • Same codebase works fine in single-process mode

We tried setting OPENBLAS_NUM_THREADS=1 and it did not help.

It appears that a function object created during Sentry serialization (_safe_repr_wrapper) is somehow being written to a location that should contain a HAMT node pointer.

This could be:

  • A use-after-free where HAMT memory is reused for function objects
  • A buffer overflow in serialization code
  • Race condition in scope/context handling with multiprocessing
Expected Result

No segfault

Actual Result

Eventual segfault

Linguagem predominante
Python
Estrelas
2.2k
Forks
672
Merge médio
22h 54min
PRs com merge (30d)
235

Guia de contribuição

Abrir o guia de contribuição

Primeiros passos

  1. Leia a issue inteira e depois o guia de contribuição do projeto.
  2. Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
  3. Faça um fork do repositório e trabalhe em uma branch.
  4. Abra um pull request que referencie o número da issue.

Mais de getsentry/sentry-python

Todas as issues de getsentry/sentry-python

Issues semelhantes

Mais issues de Python

Receba novas issues na sua caixa de entrada

Um resumo curto de issues do GitHub para quem está começando.