GHSA-H5CG-53G7-GQJW

Vulnerability from github – Published: 2024-03-06 17:05 – Updated: 2024-08-02 15:37
VLAI?
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.

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

Severity ?
8.5 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N
8.4 (High)
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
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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "rpyc"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "4.0.0"
            },
            {
              "fixed": "6.0.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-27758"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-306",
      "CWE-358",
      "CWE-913"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-03-06T17:05:30Z",
    "nvd_published_at": "2024-03-12T16:15:08Z",
    "severity": "HIGH"
  },
  "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",
  "id": "GHSA-h5cg-53g7-gqjw",
  "modified": "2024-08-02T15:37:26Z",
  "published": "2024-03-06T17:05:30Z",
  "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"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N",
      "type": "CVSS_V3"
    },
    {
      "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",
      "type": "CVSS_V4"
    }
  ],
  "summary": "RPyC\u0027s missing security check results in code execution when using numpy.array on the server-side."
}


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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



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