GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2026-14828

Vulnerability from cnvd - Published: 2026-03-25
VLAI
Title
OpenClaw存在未明漏洞(CNVD-2026-14828)
Description
OpenClaw是OpenClaw开源的一个智能人工助理。 OpenClaw存在安全漏洞,该漏洞源于tools.exec.safeBins中的grep工具存在仅限标准输入策略绕过问题,攻击者可利用该漏洞读取任意文件。
Severity
Patch Name
OpenClaw存在未明漏洞(CNVD-2026-14828)的补丁
Patch Description
OpenClaw是OpenClaw开源的一个智能人工助理。 OpenClaw存在安全漏洞,该漏洞源于tools.exec.safeBins中的grep工具存在仅限标准输入策略绕过问题,攻击者可利用该漏洞读取任意文件。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

目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: https://github.com/openclaw/openclaw/security/advisories/GHSA-3xfw-4pmr-4xc5

Reference
https://nvd.nist.gov/vuln/detail/CVE-2026-32022
Impacted products
Name
OpenClaw OpenClaw <2026.2.21
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2026-32022",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-32022"
    }
  },
  "description": "OpenClaw\u662fOpenClaw\u5f00\u6e90\u7684\u4e00\u4e2a\u667a\u80fd\u4eba\u5de5\u52a9\u7406\u3002 \n\nOpenClaw\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8etools.exec.safeBins\u4e2d\u7684grep\u5de5\u5177\u5b58\u5728\u4ec5\u9650\u6807\u51c6\u8f93\u5165\u7b56\u7565\u7ed5\u8fc7\u95ee\u9898\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u4efb\u610f\u6587\u4ef6\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://github.com/openclaw/openclaw/security/advisories/GHSA-3xfw-4pmr-4xc5",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-14828",
  "openTime": "2026-03-25",
  "patchDescription": "OpenClaw\u662fOpenClaw\u5f00\u6e90\u7684\u4e00\u4e2a\u667a\u80fd\u4eba\u5de5\u52a9\u7406\u3002 \r\n\r\nOpenClaw\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8etools.exec.safeBins\u4e2d\u7684grep\u5de5\u5177\u5b58\u5728\u4ec5\u9650\u6807\u51c6\u8f93\u5165\u7b56\u7565\u7ed5\u8fc7\u95ee\u9898\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u4efb\u610f\u6587\u4ef6\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\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2026-14828\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "OpenClaw OpenClaw \u003c2026.2.21"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2026-32022",
  "serverity": "\u4e2d",
  "submitTime": "2026-03-24",
  "title": "OpenClaw\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2026-14828\uff09"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…