CVE-2026-32035

March 20, 2026, 1:39 p.m.

5.8
Medium

Description

OpenClaw versions prior to 2026.3.2 fail to pass the senderIsOwner flag when processing Discord voice transcripts in agentCommand, causing the flag to default to true. Non-owner voice participants can exploit this omission to access owner-only tools including gateway and cron functionality in mixed-trust channels.

Product(s) Impacted

Vendor Product Versions
Openclaw
  • Openclaw
  • <2026.3.2

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-863
Incorrect Authorization
The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a openclaw openclaw <2026.3.2 / / / / / /

References

https://github.com/openclaw/openclaw/security/advisories/GHSA-wpg9-4g4v-f9rc
https://www.vulncheck.com/advisories/openclaw-missing-owner-flag-validation-in-discord-voice-transcript-handler

Tags

CWE-863
[email protected]
2026-03-19
CVE-2026-32035

CVSS Score

5.8 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Attack Requirements: PRESENT
  • Privileges Required: LOW
  • User Interaction: ACTIVE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: HIGH
  • Availability Impact: LOW
  • Exploit Maturity: NOT_DEFINED

    • CVSS:4.0/AV:N/AC:H/AT:P/PR:L/UI:A/VC:L/VI:H/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: March 19, 2026, 10:16 p.m.
Last Modified: March 20, 2026, 1:39 p.m.

Status : Undergoing Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

[email protected]

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.