GHSA-54jj-px8x-5w5q

Summary

The pickle unpickler _RestrictedUnpickler validates which classes can be loaded but does not limit their constructor arguments. A few of the types in SAFE_TO_IMPORT have constructors that allocate memory proportional to their input (builtins.bytes, builtins.list, builtins.range). A 40-byte pickle payload can force 10+ GB of memory, which crashes applications that load delta objects or call pickle_load with untrusted data.

Details

CVE-2025-58367 hardened the delta class against pollution and remote code execution by converting SAFE_TO_IMPORT to a frozenset and blocking traversal. _RestrictedUnpickler.find_class only gates which classes can be loaded. It doesn't intercept REDUCE opcodes or validate what is passed to constructors.

It can be exploited in 2 ways.

1 - During pickle_load

A pickle that calls bytes(N) using opcodes permitted by the allowlist. The allocation happens during deserialization and before the delta processes anything. The restricted unpickler does not override load_reduce so any allowed class can be called.

GLOBAL builtins.bytes      (passes find_class check — serialization.py:353)
INT    10000000000          (10 billion)
TUPLE + REDUCE             → bytes(10**10) → allocates ~9.3 GB

2 - During delta application

A valid diff dict that first sets a value to a large int via values_changed, then converts it to bytes via type_changes. It works because _do_values_changed() runs before _do_type_changes() in Delta.add() in delta.py line 183. Step 1 modifies the target in place before step 2 reads the modified value and calls new_type(current_old_value) at delta.py line 576 with no size guard.

PoC

The script uses Python's resource module to cap memory to 1 GB so you can reproduce safely without hitting the OOM killer. It loads deepdiff first, applies the limit, then runs the payload. Change 10**8 to 10**10 for the full 9.3 GB allocation.

import...