CVE-2024-27758: Rpyc RPyC's Missing Security Check Results Vulnerability
HIGHCVE-2024-27758 is a HIGH (CVSS 8.5) rpyc's missing security check results vulnerability (CWE-913: Improper Control of Dynamically-Managed Code Resources) affecting Rpyc libraries in the PyPI ecosystem. The issue involves rpyc's missing security check results in code execution when using numpy.array on the server-side.. Remediation is available by upgrading affected packages to version 6.0.0.
CVE-2024-27758 at a Glance
Security Impact
CVSS: 8.5
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N).
How to Fix CVE-2024-27758
To remediate this vulnerability, upgrade all affected Rpyc dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
pip install rpyc>=6.0.0Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show rpycHow to Check if You Are Affected
To determine whether your Python environment is affected by CVE-2024-27758, inspect your installed packages using pip:
pip show rpycAnalyze the terminal output to locate any version of Rpyc in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 6.0.0), your application is affected.
Note: The pip show rpyc command checks currently installed packages in your active Python environment.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-913: Improper Control of Dynamically-Managed Code Resources, where the product does not properly restrict reading from or writing to dynamically-managed code resources such as variables, objects, classes, attributes, functions, or executable instructions or statements. In Rpyc, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
CVE-2024-27758 Affected Rpyc Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
rpyc
|
PyPI |
≥ 4.0.0
< 6.0.0
|
6.0.0
|
References
Frequently Asked Questions
What is CVE-2024-27758?
Which Rpyc versions are affected?
What version fixes CVE-2024-27758?
Is rpyc affected?
What is the CVSS score of CVE-2024-27758?
What CWE is associated with CVE-2024-27758?
How can I check PyPI dependencies for CVE-2024-27758?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-h5cg-53g7-gqjw",
"modified" : "2024-08-02T15:37:26Z",
"published" : "2024-03-06T17:05:30Z",
"aliases" : [ "CVE-2024-27758" ],
"summary" : "RPyC's missing security check results in code execution when using numpy.array on the server-side.",
"details" : "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).\n\n### Attack Vector\nRPyC 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\n\n### Impact\nAssuming the system exposes a method that calls the attribute `__array__`, an attacker can execute code using the vulnerable component. \n\n### Patches\nThe 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.\n\n### Workarounds\nWhile 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)\n\n### Affected Component\n[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`.\n\n### References\n- [Original disclosure](https://gist.github.com/renbou/957f70d27470982994f12a1d70153d09) by [renbou (Artem Mikheev)](https://gist.github.com/renbou)\n- [CVE-2024-27758](https://nvd.nist.gov/vuln/detail/CVE-2024-27758)\n",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N"
}, {
"type" : "CVSS_V4",
"score" : "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:L/VA:N/SC:H/SI:L/SA:N"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "rpyc"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "4.0.0"
}, {
"fixed" : "6.0.0"
} ]
} ]
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/tomerfiliba-org/rpyc/security/advisories/GHSA-h5cg-53g7-gqjw"
}, {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2024-27758"
}, {
"type" : "WEB",
"url" : "https://github.com/tomerfiliba-org/rpyc/commit/9f45f8269d4106905db61d82cd529cacdb178911"
}, {
"type" : "WEB",
"url" : "https://github.com/tomerfiliba-org/rpyc/commit/bba1d3562e6f9f1256ec64048cc23001c0bb7516"
}, {
"type" : "WEB",
"url" : "https://gist.github.com/renbou/957f70d27470982994f12a1d70153d09"
}, {
"type" : "WEB",
"url" : "https://github.com/pypa/advisory-database/tree/main/vulns/rpyc/PYSEC-2024-44.yaml"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/tomerfiliba-org/rpyc"
}, {
"type" : "WEB",
"url" : "https://github.com/tomerfiliba-org/rpyc/blob/5.3.1/rpyc/core/netref.py#L252-L255"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-306", "CWE-358", "CWE-913" ],
"severity" : "HIGH",
"github_reviewed" : true,
"github_reviewed_at" : "2024-03-06T17:05:30Z",
"nvd_published_at" : "2024-03-12T16:15:08Z"
}
}