GHSA-XJW9-4GW8-4RQX

Vulnerability from github – Published: 2026-02-19 19:34 – Updated: 2026-06-08 23:19
VLAI
Summary
Microsoft Semantic Kernel InMemoryVectorStore filter functionality vulnerable to remote code execution
Details

Impact:

An RCE vulnerability has been identified in Microsoft Semantic Kernel Python SDK, specifically within the InMemoryVectorStore filter functionality.

Patches:

The problem has been fixed in python-1.39.4. Users should upgrade this version or higher.

Workarounds:

Avoid using InMemoryVectorStore for production scenarios.

References:

Release python-1.39.4 · microsoft/semantic-kernel · GitHub PR to block use of dangerous attribute names that must not be accessed in filter expressions

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "semantic-kernel"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.39.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-26030"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-94"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-02-19T19:34:14Z",
    "nvd_published_at": "2026-02-19T17:24:50Z",
    "severity": "CRITICAL"
  },
  "details": "### Impact:\nAn RCE vulnerability has been identified in Microsoft Semantic Kernel Python SDK, specifically within the `InMemoryVectorStore` filter functionality.\n\n### Patches:\nThe problem has been fixed in [python-1.39.4](https://github.com/microsoft/semantic-kernel/releases/tag/python-1.39.4). Users should upgrade this version or higher.\n\n### Workarounds:\nAvoid using `InMemoryVectorStore` for production scenarios.\n\n### References:\n[Release python-1.39.4 \u00b7 microsoft/semantic-kernel \u00b7 GitHub](https://github.com/microsoft/semantic-kernel/releases/tag/python-1.39.4)\n[PR to block use of dangerous attribute names that must not be accessed in filter expressions](https://github.com/microsoft/semantic-kernel/pull/13505)",
  "id": "GHSA-xjw9-4gw8-4rqx",
  "modified": "2026-06-08T23:19:39Z",
  "published": "2026-02-19T19:34:14Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/microsoft/semantic-kernel/security/advisories/GHSA-xjw9-4gw8-4rqx"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-26030"
    },
    {
      "type": "WEB",
      "url": "https://github.com/microsoft/semantic-kernel/pull/13505"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/microsoft/semantic-kernel"
    },
    {
      "type": "WEB",
      "url": "https://github.com/microsoft/semantic-kernel/releases/tag/python-1.39.4"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/semantic-kernel/PYSEC-2026-163.yaml"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Microsoft Semantic Kernel InMemoryVectorStore filter functionality vulnerable to remote code execution"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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