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CNVD-2026-13543

Vulnerability from cnvd - Published: 2026-03-12
VLAI
Title
OpenClaw拒绝服务漏洞(CNVD-2026-13543)
Description
OpenClaw是一款用于处理归档文件的工具。 OpenClaw存在拒绝服务漏洞。攻击者可利用该漏洞通过高膨胀ZIP/TAR归档文件耗尽CPU、内存和磁盘资源,导致服务降级或系统不可用。
Severity
Patch Name
OpenClaw拒绝服务漏洞(CNVD-2026-13543)的补丁
Patch Description
OpenClaw是一款用于处理归档文件的工具。 OpenClaw存在拒绝服务漏洞。攻击者可利用该漏洞通过高膨胀ZIP/TAR归档文件耗尽CPU、内存和磁盘资源,导致服务降级或系统不可用。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

目前厂商已发布升级补丁以修复漏洞。补丁获取链接: https://github.com/openclaw/openclaw/security/advisories/GHSA-h89v-j3x9-8wqj

Reference
https://github.com/openclaw/openclaw/commit/5f4b29145c236d124524c2c9af0f8acd048fbdea https://github.com/openclaw/openclaw/commit/d3ee5deb87ee2ad0ab83c92c365611165423cb71 https://github.com/openclaw/openclaw/security/advisories/GHSA-h89v-j3x9-8wqj https://www.vulncheck.com/advisories/openclaw-denial-of-service-via-unguarded-archive-extraction-in-extractarchive
Impacted products
Name
OpenClaw OpenClaw <2026.2.14
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2026-28452",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-28452"
    }
  },
  "description": "OpenClaw\u662f\u4e00\u6b3e\u7528\u4e8e\u5904\u7406\u5f52\u6863\u6587\u4ef6\u7684\u5de5\u5177\u3002\n\nOpenClaw\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u9ad8\u81a8\u80c0ZIP/TAR\u5f52\u6863\u6587\u4ef6\u8017\u5c3dCPU\u3001\u5185\u5b58\u548c\u78c1\u76d8\u8d44\u6e90\uff0c\u5bfc\u81f4\u670d\u52a1\u964d\u7ea7\u6216\u7cfb\u7edf\u4e0d\u53ef\u7528\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\u3002\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://github.com/openclaw/openclaw/security/advisories/GHSA-h89v-j3x9-8wqj",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-13543",
  "openTime": "2026-03-12",
  "patchDescription": "OpenClaw\u662f\u4e00\u6b3e\u7528\u4e8e\u5904\u7406\u5f52\u6863\u6587\u4ef6\u7684\u5de5\u5177\u3002\r\n\r\nOpenClaw\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u9ad8\u81a8\u80c0ZIP/TAR\u5f52\u6863\u6587\u4ef6\u8017\u5c3dCPU\u3001\u5185\u5b58\u548c\u78c1\u76d8\u8d44\u6e90\uff0c\u5bfc\u81f4\u670d\u52a1\u964d\u7ea7\u6216\u7cfb\u7edf\u4e0d\u53ef\u7528\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\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2026-13543\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "OpenClaw OpenClaw \u003c2026.2.14"
  },
  "referenceLink": "https://github.com/openclaw/openclaw/commit/5f4b29145c236d124524c2c9af0f8acd048fbdea\r\nhttps://github.com/openclaw/openclaw/commit/d3ee5deb87ee2ad0ab83c92c365611165423cb71\r\nhttps://github.com/openclaw/openclaw/security/advisories/GHSA-h89v-j3x9-8wqj\r\nhttps://www.vulncheck.com/advisories/openclaw-denial-of-service-via-unguarded-archive-extraction-in-extractarchive",
  "serverity": "\u4e2d",
  "submitTime": "2026-03-12",
  "title": "OpenClaw\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2026-13543\uff09"
}



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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.
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  • 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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