High

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

  • Disclosed: 06.03.2024
  • Updated: 11.10.2026 13:19

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

Affected software

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PlatformPackageVulnerable versionsFixed in
Python (PyPI) rpyc >= 4.0.0, < 6.0.0 6.0.0

References

CVSS score 8.5/10
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N
Weakness (CWE)
CWE-306, CWE-358, CWE-913
Platform
Python (PyPI)
Package
rpyc
Disclosed
06.03.2024
Updated
11.10.2026 13:19

Sources and licenses

OSV / GitHub Advisory Database - PYSEC-2024-44 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-h5cg-53g7-gqjw - CC BY 4.0

Vulnerability history: rpyc

All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.

This is the only known vulnerability of this package.

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