Affected: Homebrew: bbot

### 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_…

DeepDiff is a project focused on Deep Difference and search of any Python data. From version 5.0.0 to before version 8.6.2, 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. This issue has been patched in version 8.6.2.

Affected: PyPI: deepdiff

### 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_…

python311-deepdiff-8.6.2-1.1 on GA media

Affected: PyPI: deepdiff

### 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_…

Security update for python-deepdiff

Affected: Ubuntu:20.04:LTS: deepdiff, Ubuntu:22.04:LTS: deepdiff, Ubuntu:24.04:LTS: deepdiff, Ubuntu:25.10: deepdiff, Ubuntu:26.04:LTS: deepdiff

DeepDiff is a project focused on Deep Difference and search of any Python data. From version 5.0.0 to before version 8.6.2, 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. This issue has been patched in version 8.6.2.