Affected: rpyc_project rpyc

In RPyC before 6.0.0, when a server exposes a method that calls the attribute named __array__ for a client-provided netref (e.g., np.array(client_netref)), a remote attacker can craft a class that results in remote code execution.

Affected: PyPI: rpyc

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](https://github.com/tomerfiliba-org/rpyc/commit/9f45f8269d4106905db61d82cd529cacdb178911).

### 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.](https://github.com/tomerfiliba-org/rpyc/commit/bba1d3562e6f9f1256ec64048cc23001c0bb7516)

### Affected Component [The affected component](https://github.com/tomerfiliba-org/rpyc/blob/5.3.1/rpyc/core/netref.py#L252-L255) is the `__array__` method constructed for `NetrefClass`.

### References - [Original disclosure](https://gist.github.com/renbou/957f70d27470982994f12a1d70153d09) by [renbou (Artem Mikheev)](https://gist.github.com/renbou) - [CV…

Affected: PyPI: rpyc

In RPyC before 6.0.0, when a server exposes a method that calls the attribute named __array__ for a client-provided netref (e.g., np.array(client_netref)), a remote attacker can craft a class that results in remote code execution.