Vulnerability-Lookup

CNVD-2026-12909

Vulnerability from cnvd - Published: 2026-03-09

Title

Microsoft Semantic Kernel代码注入漏洞

Description

Microsoft Semantic Kernel是美国Microsoft公司的一个大模型编排框架。 Microsoft Semantic Kernel 1.39.4之前版本存在代码注入漏洞。该漏洞源于InMemoryVectorStore过滤功能未能正确过滤构造代码段的特殊元素，攻击者可利用该漏洞导致远程代码执行。

Severity

高

Patch Name

Microsoft Semantic Kernel代码注入漏洞的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://learn.microsoft.com/en-us/semantic-kernel/overview/

Reference

https://github.com/microsoft/semantic-kernel/pull/13505

Impacted products

Name
Microsoft Semantic Kernel <1.39.4

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2026-26030",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-26030"
    }
  },
  "description": "Microsoft Semantic Kernel\u662f\u7f8e\u56fdMicrosoft\u516c\u53f8\u7684\u4e00\u4e2a\u5927\u6a21\u578b\u7f16\u6392\u6846\u67b6\u3002\n\nMicrosoft Semantic Kernel 1.39.4\u4e4b\u524d\u7248\u672c\u5b58\u5728\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8eInMemoryVectorStore\u8fc7\u6ee4\u529f\u80fd\u672a\u80fd\u6b63\u786e\u8fc7\u6ee4\u6784\u9020\u4ee3\u7801\u6bb5\u7684\u7279\u6b8a\u5143\u7d20\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://learn.microsoft.com/en-us/semantic-kernel/overview/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-12909",
  "openTime": "2026-03-09",
  "patchDescription": "Microsoft Semantic Kernel\u662f\u7f8e\u56fdMicrosoft\u516c\u53f8\u7684\u4e00\u4e2a\u5927\u6a21\u578b\u7f16\u6392\u6846\u67b6\u3002\r\n\r\nMicrosoft Semantic Kernel 1.39.4\u4e4b\u524d\u7248\u672c\u5b58\u5728\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8eInMemoryVectorStore\u8fc7\u6ee4\u529f\u80fd\u672a\u80fd\u6b63\u786e\u8fc7\u6ee4\u6784\u9020\u4ee3\u7801\u6bb5\u7684\u7279\u6b8a\u5143\u7d20\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Microsoft Semantic Kernel\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Microsoft Semantic Kernel \u003c1.39.4"
  },
  "referenceLink": "https://github.com/microsoft/semantic-kernel/pull/13505",
  "serverity": "\u9ad8",
  "submitTime": "2026-03-06",
  "title": "Microsoft Semantic Kernel\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2026-26030 (GCVE-0-2026-26030)

Vulnerability from cvelistv5 – Published: 2026-02-19 16:00 – Updated: 2026-02-26 14:44

Title

Microsoft Semantic Kernel InMemoryVectorStore filter functionality vulnerable to remote code execution

Summary

Semantic Kernel, Microsoft's semantic kernel Python SDK, has a remote code execution vulnerability in versions prior to 1.39.4, specifically within the `InMemoryVectorStore` filter functionality. The problem has been fixed in version `python-1.39.4`. Users should upgrade this version or higher. As a workaround, avoid using `InMemoryVectorStore` for production scenarios.

Severity

10 (Critical)


                        
                          CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-02-20 04:55 UTC

CWE

CWE-94 - Improper Control of Generation of Code ('Code Injection')

Assigner

GitHub_M mitre root

References

3 references

URL	Tags
https://github.com/microsoft/semantic-kernel/secu…	x_refsource_CONFIRM
https://github.com/microsoft/semantic-kernel/pull/13505	x_refsource_MISC
https://github.com/microsoft/semantic-kernel/rele…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
microsoft	semantic-kernel	Affected: < 1.39.4

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-26030",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-02-20T04:55:50.393336Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
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        "providerMetadata": {
          "dateUpdated": "2026-02-26T14:44:14.276Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "semantic-kernel",
          "vendor": "microsoft",
          "versions": [
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              "status": "affected",
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            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Semantic Kernel, Microsoft\u0027s semantic kernel Python SDK, has a remote code execution vulnerability in versions prior to 1.39.4, specifically within the `InMemoryVectorStore` filter functionality. The problem has been fixed in version `python-1.39.4`. Users should upgrade this version or higher. As a workaround, avoid using `InMemoryVectorStore` for production scenarios."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 10,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
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          "descriptions": [
            {
              "cweId": "CWE-94",
              "description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
              "lang": "en",
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      ],
      "providerMetadata": {
        "dateUpdated": "2026-02-19T16:00:55.623Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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      "references": [
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          "url": "https://github.com/microsoft/semantic-kernel/security/advisories/GHSA-xjw9-4gw8-4rqx"
        },
        {
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          "tags": [
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        "discovery": "UNKNOWN"
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    }
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  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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    "cveId": "CVE-2026-26030",
    "datePublished": "2026-02-19T16:00:55.623Z",
    "dateReserved": "2026-02-09T21:36:29.555Z",
    "dateUpdated": "2026-02-26T14:44:14.276Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

Sightings

Author	Source	Type	Date	Other

Nomenclature

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.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
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.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.