Vulnerability-Lookup

CNVD-2026-13800

Vulnerability from cnvd - Published: 2026-03-12

Title

OpenClaw拒绝服务漏洞（CNVD-2026-13800）

Description

OpenClaw是用于处理Webhook事件的开源框架。 OpenClaw存在拒绝服务漏洞。攻击者可利用该漏洞通过发送超大JSON负载或缓慢上传引发内存压力，导致服务不可用。

Severity

高

Patch Name

OpenClaw拒绝服务漏洞（CNVD-2026-13800）的补丁

Patch Description

OpenClaw是用于处理Webhook事件的开源框架。 OpenClaw存在拒绝服务漏洞。攻击者可利用该漏洞通过发送超大JSON负载或缓慢上传引发内存压力，导致服务不可用。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-q447-rj3r-2cgh

Reference

https://github.com/openclaw/openclaw/commit/3cbcba10cf30c2ffb898f0d8c7dfb929f15f8930 https://github.com/openclaw/openclaw/security/advisories/GHSA-q447-rj3r-2cgh https://www.vulncheck.com/advisories/openclaw-denial-of-service-via-unbounded-webhook-request-body-buffering

Impacted products

Name
OpenClaw OpenClaw <2026.2.13

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2026-28478",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-28478"
    }
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  "description": "OpenClaw\u662f\u7528\u4e8e\u5904\u7406Webhook\u4e8b\u4ef6\u7684\u5f00\u6e90\u6846\u67b6\u3002\n\nOpenClaw\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u53d1\u9001\u8d85\u5927JSON\u8d1f\u8f7d\u6216\u7f13\u6162\u4e0a\u4f20\u5f15\u53d1\u5185\u5b58\u538b\u529b\uff0c\u5bfc\u81f4\u670d\u52a1\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-q447-rj3r-2cgh",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-13800",
  "openTime": "2026-03-12",
  "patchDescription": "OpenClaw\u662f\u7528\u4e8e\u5904\u7406Webhook\u4e8b\u4ef6\u7684\u5f00\u6e90\u6846\u67b6\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\u53d1\u9001\u8d85\u5927JSON\u8d1f\u8f7d\u6216\u7f13\u6162\u4e0a\u4f20\u5f15\u53d1\u5185\u5b58\u538b\u529b\uff0c\u5bfc\u81f4\u670d\u52a1\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-2026-13800\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "OpenClaw OpenClaw \u003c2026.2.13"
  },
  "referenceLink": "https://github.com/openclaw/openclaw/commit/3cbcba10cf30c2ffb898f0d8c7dfb929f15f8930\r\nhttps://github.com/openclaw/openclaw/security/advisories/GHSA-q447-rj3r-2cgh\r\nhttps://www.vulncheck.com/advisories/openclaw-denial-of-service-via-unbounded-webhook-request-body-buffering",
  "serverity": "\u9ad8",
  "submitTime": "2026-03-12",
  "title": "OpenClaw\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2026-13800\uff09"
}

CVE-2026-28478 (GCVE-0-2026-28478)

Vulnerability from cvelistv5 – Published: 2026-03-05 21:59 – Updated: 2026-03-09 18:12

Title

OpenClaw < 2026.2.13 - Denial of Service via Unbounded Webhook Request Body Buffering

Summary

OpenClaw versions prior to 2026.2.13 contain a denial of service vulnerability in webhook handlers that buffer request bodies without strict byte or time limits. Remote unauthenticated attackers can send oversized JSON payloads or slow uploads to webhook endpoints causing memory pressure and availability degradation.

Severity

8.7 (High)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

7.5 (High)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-03-09 18:11 UTC

CWE

CWE-770 - Allocation of Resources Without Limits or Throttling

Assigner

VulnCheck mitre root

References

3 references

URL	Tags
https://github.com/openclaw/openclaw/security/adv…	vendor-advisory
https://github.com/openclaw/openclaw/commit/3cbcb…	patch
https://www.vulncheck.com/advisories/openclaw-den…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
OpenClaw	OpenClaw	Affected: 0 , < 2026.2.13 (custom) cpe:2.3:a:openclaw:openclaw::::::node.js::*

Date Public

2026-02-15 00:00

Credits

Vincent Koc (@vincentkoc)

Show details on NVD website

JSON

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                "role": "CISA Coordinator",
                "timestamp": "2026-03-09T18:11:57.553824Z",
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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.