CNVD-2026-22344

Vulnerability from cnvd - Published: 2026-05-29
VLAI
Title
OpenClaw工具策略绕过漏洞
Description
OpenClaw是OpenClaw开源的一个智能人工助理。 OpenClaw存在工具策略绕过漏洞,具有本地代理访问权限的攻击者可利用该漏洞在策略过滤后将受限工具附加到有效工具集,绕过配置文件策略、允许/拒绝列表、所有者限制、沙箱策略和子代理策略。
Severity
中
Patch Name
OpenClaw工具策略绕过漏洞的补丁
Patch Description
OpenClaw是OpenClaw开源的一个智能人工助理。 OpenClaw存在工具策略绕过漏洞,具有本地代理访问权限的攻击者可利用该漏洞在策略过滤后将受限工具附加到有效工具集,绕过配置文件策略、允许/拒绝列表、所有者限制、沙箱策略和子代理策略。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/openclaw/openclaw/commit/0e7a992d3f3155199c1acc2dd9a53c5b3a4d3ada

Reference
https://github.com/openclaw/openclaw/security/advisories/GHSA-qrp5-gfw2-gxv4
Impacted products
Name
OpenClaw OpenClaw <2026.4.20
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2026-44998",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-44998"
    }
  },
  "description": "OpenClaw\u662fOpenClaw\u5f00\u6e90\u7684\u4e00\u4e2a\u667a\u80fd\u4eba\u5de5\u52a9\u7406\u3002\n\nOpenClaw\u5b58\u5728\u5de5\u5177\u7b56\u7565\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u5177\u6709\u672c\u5730\u4ee3\u7406\u8bbf\u95ee\u6743\u9650\u7684\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u7b56\u7565\u8fc7\u6ee4\u540e\u5c06\u53d7\u9650\u5de5\u5177\u9644\u52a0\u5230\u6709\u6548\u5de5\u5177\u96c6\uff0c\u7ed5\u8fc7\u914d\u7f6e\u6587\u4ef6\u7b56\u7565\u3001\u5141\u8bb8/\u62d2\u7edd\u5217\u8868\u3001\u6240\u6709\u8005\u9650\u5236\u3001\u6c99\u7bb1\u7b56\u7565\u548c\u5b50\u4ee3\u7406\u7b56\u7565\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/openclaw/openclaw/commit/0e7a992d3f3155199c1acc2dd9a53c5b3a4d3ada",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-22344",
  "openTime": "2026-05-29",
  "patchDescription": "OpenClaw\u662fOpenClaw\u5f00\u6e90\u7684\u4e00\u4e2a\u667a\u80fd\u4eba\u5de5\u52a9\u7406\u3002\r\n\r\nOpenClaw\u5b58\u5728\u5de5\u5177\u7b56\u7565\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u5177\u6709\u672c\u5730\u4ee3\u7406\u8bbf\u95ee\u6743\u9650\u7684\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u7b56\u7565\u8fc7\u6ee4\u540e\u5c06\u53d7\u9650\u5de5\u5177\u9644\u52a0\u5230\u6709\u6548\u5de5\u5177\u96c6\uff0c\u7ed5\u8fc7\u914d\u7f6e\u6587\u4ef6\u7b56\u7565\u3001\u5141\u8bb8/\u62d2\u7edd\u5217\u8868\u3001\u6240\u6709\u8005\u9650\u5236\u3001\u6c99\u7bb1\u7b56\u7565\u548c\u5b50\u4ee3\u7406\u7b56\u7565\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": "OpenClaw\u5de5\u5177\u7b56\u7565\u7ed5\u8fc7\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "OpenClaw OpenClaw \u003c2026.4.20"
  },
  "referenceLink": "https://github.com/openclaw/openclaw/security/advisories/GHSA-qrp5-gfw2-gxv4",
  "serverity": "\u4e2d",
  "submitTime": "2026-05-12",
  "title": "OpenClaw\u5de5\u5177\u7b56\u7565\u7ed5\u8fc7\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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