CNVD-2026-26373

Vulnerability from cnvd - Published: 2026-07-03
VLAI
Title
OpenBSD src mpls_do_error函数越界读取漏洞
Description
OpenBSD src是一款用于构建OpenBSD操作系统的基础源代码包,包含内核及核心组件的实现。 OpenBSD src存在越界读取漏洞。该漏洞源于mpls_do_error函数未能正确处理包含16个标签且未设置栈底位的特制MPLS帧,攻击者可利用该漏洞泄露内核栈内存。
Severity
中
Patch Name
OpenBSD src mpls_do_error函数越界读取漏洞的补丁
Patch Description
OpenBSD src是一款用于构建OpenBSD操作系统的基础源代码包,包含内核及核心组件的实现。 OpenBSD src存在越界读取漏洞。该漏洞源于mpls_do_error函数未能正确处理包含16个标签且未设置栈底位的特制MPLS帧,攻击者可利用该漏洞泄露内核栈内存。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

厂商已发布了漏洞修复程序,请及时关注更新: https://github.com/openbsd/src/commit/6a23123ec05f1eb29cfcaae0f3a468b2e1983cfd

Reference
https://pop.argus-systems.ai/advisory/adv-040.html
Impacted products
Name
OpenBSD OpenBSD <2026-06-18
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2026-56099",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-56099"
    }
  },
  "description": "OpenBSD src\u662f\u4e00\u6b3e\u7528\u4e8e\u6784\u5efaOpenBSD\u64cd\u4f5c\u7cfb\u7edf\u7684\u57fa\u7840\u6e90\u4ee3\u7801\u5305\uff0c\u5305\u542b\u5185\u6838\u53ca\u6838\u5fc3\u7ec4\u4ef6\u7684\u5b9e\u73b0\u3002\n\nOpenBSD src\u5b58\u5728\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8empls_do_error\u51fd\u6570\u672a\u80fd\u6b63\u786e\u5904\u7406\u5305\u542b16\u4e2a\u6807\u7b7e\u4e14\u672a\u8bbe\u7f6e\u6808\u5e95\u4f4d\u7684\u7279\u5236MPLS\u5e27\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6cc4\u9732\u5185\u6838\u6808\u5185\u5b58\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://github.com/openbsd/src/commit/6a23123ec05f1eb29cfcaae0f3a468b2e1983cfd",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-26373",
  "openTime": "2026-07-03",
  "patchDescription": "OpenBSD src\u662f\u4e00\u6b3e\u7528\u4e8e\u6784\u5efaOpenBSD\u64cd\u4f5c\u7cfb\u7edf\u7684\u57fa\u7840\u6e90\u4ee3\u7801\u5305\uff0c\u5305\u542b\u5185\u6838\u53ca\u6838\u5fc3\u7ec4\u4ef6\u7684\u5b9e\u73b0\u3002\r\n\r\nOpenBSD src\u5b58\u5728\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8empls_do_error\u51fd\u6570\u672a\u80fd\u6b63\u786e\u5904\u7406\u5305\u542b16\u4e2a\u6807\u7b7e\u4e14\u672a\u8bbe\u7f6e\u6808\u5e95\u4f4d\u7684\u7279\u5236MPLS\u5e27\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6cc4\u9732\u5185\u6838\u6808\u5185\u5b58\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": "OpenBSD src mpls_do_error\u51fd\u6570\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "OpenBSD OpenBSD \u003c2026-06-18"
  },
  "referenceLink": "https://pop.argus-systems.ai/advisory/adv-040.html",
  "serverity": "\u4e2d",
  "submitTime": "2026-06-22",
  "title": "OpenBSD src mpls_do_error\u51fd\u6570\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e"
}



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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.

Sightings

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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.

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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.


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