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AI agent vulnerability · OpenClaw

CVE-2026-27576: OpenClaw: ACP prompt-size checks missing in local stdio bridge could reduce responsiveness with very large inputs

mediumCVSS 4.0 4.8GHSA-cxpw-2g23-2vgw

Vulnerability The ACP bridge accepted very large prompt text blocks and could assemble oversized prompt payloads before forwarding them to chat.send. Because ACP runs over local stdio, this mainly affects local ACP clients (for example IDE integrations) that send unusually large inputs.

Published Feb 20, 2026 · Updated Feb 23, 2026

Affected packages

openclaw

Ecosystem
npm
Affected
<= 2026.2.17
Fixed in
2026.2.19
Check
npm ls openclaw

Advisory details

From the GitHub Advisory Database (CC BY 4.0).

Vulnerability

The ACP bridge accepted very large prompt text blocks and could assemble oversized prompt payloads before forwarding them to chat.send.

Because ACP runs over local stdio, this mainly affects local ACP clients (for example IDE integrations) that send unusually large inputs.

Affected Packages / Versions

  • Package: openclaw (npm)
  • Affected versions: <= 2026.2.17
  • Patched version: 2026.2.18 (planned next release)

Impact

  • Local ACP sessions may become less responsive when very large prompts are submitted
  • Larger-than-expected model usage/cost when oversized text is forwarded
  • No privilege escalation and no direct remote attack path in the default ACP model

Affected Components

  • src/acp/event-mapper.ts
  • src/acp/translator.ts

Remediation

  • Enforce a 2 MiB prompt-text limit before concatenation
  • Count inter-block newline separator bytes during pre-concatenation size checks
  • Keep final outbound message-size validation before chat.send
  • Avoid stale active-run session state when oversized prompts are rejected
  • Add regression tests for oversize rejection and active-run cleanup

Fix Commit(s)

  • 732e53151e8fbdfc0501182ddb0e900878bdc1e3
  • ebcf19746f5c500a41817e03abecadea8655654a
  • 63e39d7f57ac4ad4a5e38d17e7394ae7c4dd0b9c

Thanks @aether-ai-agent for reporting.

Credited to aether-ai-agent.

References

How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology

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