Restrict SafeUnpickler standard-library globals (#39858)

Co-authored-by: jiayisuse <jiayisuse@fb.com>
This commit is contained in:
Lianmin Zheng
2026-09-17 01:09:55 -07:00
committed by GitHub
co-authored by jiayisuse
parent 71ef869ece
commit 882577451e
2 changed files with 105 additions and 36 deletions
@@ -0,0 +1,72 @@
import pickle
import unittest
from collections import OrderedDict, defaultdict, deque
from functools import partial
from types import SimpleNamespace
import torch
from sglang.srt.utils.common import MultiprocessingSerializer, safe_pickle_loads
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.test_utils import CustomTestCase
register_cpu_ci(est_time=2, suite="base-a-test-cpu")
class TestSafeUnpickler(CustomTestCase):
def test_rejects_dangerous_builtin_globals(self):
for name in ("__import__", "getattr", "eval", "exec", "compile", "open"):
with (
self.subTest(name=name),
self.assertRaisesRegex(
RuntimeError, rf"Blocked unsafe global \(builtins\.{name}\)"
),
):
# GLOBAL resolves the callable but does not invoke it. This exercises
# the deserialization boundary without constructing an exploit chain.
safe_pickle_loads(f"cbuiltins\n{name}\n.".encode())
def test_rejects_unlisted_standard_library_globals(self):
for module, name in (
("copyreg", "_reconstructor"),
("operator", "attrgetter"),
("types", "FunctionType"),
):
with (
self.subTest(module=module, name=name),
self.assertRaisesRegex(
RuntimeError, rf"Blocked unsafe global \({module}\.{name}\)"
),
):
safe_pickle_loads(f"c{module}\n{name}\n.".encode())
def test_round_trips_safe_standard_library_types(self):
value = SimpleNamespace(
values=OrderedDict([("items", deque([1, 2]))]),
factory=defaultdict(list, {"items": [3]}),
index=slice(1, 4),
parser=partial(int, base=10),
)
restored = safe_pickle_loads(
pickle.dumps(value, protocol=pickle.HIGHEST_PROTOCOL)
)
self.assertEqual(restored.values, value.values)
self.assertEqual(restored.factory, value.factory)
self.assertEqual(restored.index, value.index)
self.assertEqual(restored.parser("11"), 11)
def test_round_trips_tensor_payload(self):
value = [("weight", torch.arange(6).reshape(2, 3))]
restored = MultiprocessingSerializer.deserialize(
MultiprocessingSerializer.serialize(value)
)
self.assertEqual(restored[0][0], "weight")
self.assertTrue(torch.equal(restored[0][1], value[0][1]))
if __name__ == "__main__":
unittest.main()