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

Not analysed yet

We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.

Severity and exploitation

• CISA KEV Not listed.
• EPSS 0.0051, the 43rd percentile, on 5 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.

Timeline

This record came from the full history of the GitHub Advisory Database, published 6 Mar 2024. New records show when each source confirmed them.

Sources

• GitHub Advisory Database: GHSA-h5cg-53g7-gqjw
• OSV: GHSA-h5cg-53g7-gqjw
• github.com/tomerfiliba-org/rpyc/security/advisories/GHSA-h5cg-53g7-gqjw
• nvd.nist.gov/vuln/detail/CVE-2024-27758
• github.com/tomerfiliba-org/rpyc/commit/9f45f8269d4106905db61d82cd529cacdb178911
• github.com/tomerfiliba-org/rpyc/commit/bba1d3562e6f9f1256ec64048cc23001c0bb7516
• gist.github.com/renbou/957f70d27470982994f12a1d70153d09
• github.com/pypa/advisory-database/tree/main/vulns/rpyc/PYSEC-2024-44.yaml
• github.com/tomerfiliba-org/rpyc
• github.com/tomerfiliba-org/rpyc/blob/5.3.1/rpyc/core/netref.py#L252-L255

Facts on this page come from the GitHub Advisory Database (CC-BY 4.0), OSV and the other sources listed, as published. We don’t reproduce full advisory descriptions, which can contain exploit code.