GHSA-h5cg-53g7-gqjw RPyC's missing security check results in code execution when using numpy.array on the server-side.

• PyPI rpyc: >= 4.0.0, < 6.0.0 → fixed in 6.0.0

An issue in Open Source: RPyC v.4.00 thru v.5.3.1 allows a remote attacker to execute arbitrary code via a crafted script to the `__array__` attribute component. This vulnerability was introduced in 9f45f826. Attack Vector RPyC services that rely on the `__array__` attribute used by numpy are impacted. When the server-side exposes a method that calls the attribute named `__array__` for a a client provided netref (e.g., `np.array(client_netref)`), a remote attacker can craft a class which results in remote code execution Impact Assuming the system exposes a method that calls the attribute `__array__`, an attacker can execute code using the vulnerable component. Patches The fix is available in RPyC 6.0.0. The major version change is because some users may need to set `allow_pickle` to `True` when migrating to RPyC 6. Workarounds While the recommend fix is to upgrade to RPyC 6.0.0, the workaround is to apply bba1d356 as patch. Affected Component The affected component is the `__array__` method constructed for `NetrefClass`. References • Original disclosure by renbou (Artem Mikheev) • CVE-2024-27758