Update dependency rpyc to v6 [SECURITY]

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
rpyc	5.3.1 -> 6.0.0

GitHub Vulnerability Alerts

CVE-2024-27758

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

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Release Notes

tomerfiliba-org/rpyc (rpyc)

v6.0.0

Compare Source

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Date: 2024-02-23

• #551_ Resolves security issue that results in RCE. The fix breaks backwards compatibility for those that rely on the __array__ attribute used by numpy. This RCE is only exploitable when the server-side gets the attribute __array__ and calls it (e.g., np.array(x)). This issues effects all versions since major release 4.

.. _#551:https://github.com/tomerfiliba-org/rpyc/issues/5511

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