praisonai-platform: Any workspace member can rewrite workspace name, description, and settings via PATCH /workspaces/{id}

MITRE NVD CVE.ORG JSON API

Summary

CVECVE-2026-47411
StatePUBLISHED
AssignerGitHub_M
Source PriorityCVE Program / NVD first with legacy fallback
Published2026-07-21 18:16:59 UTC
Updated2026-07-21 18:59:43 UTC
DescriptionPraisonAI Platform is the platform layer for the PraisonAI multi-agent teams system. Versions prior to 0.1.4 have an authorization bypass enabling workspace metadata + settings tampering. The `PATCH /workspaces/{workspace_id}` endpoint is gated only by `require_workspace_member(workspace_id)` (default `min_role="member"`). Any member can rewrite the workspace's `name`, `description`, and the `settings` JSON blob. The settings field is a free-form JSON object — depending on which downstream code reads it, this becomes a configuration-injection primitive for any setting the platform exposes there. PraisonAI Platform version 0.1.4 patches the issue.

Risk And Classification

Primary CVSS: v3.1 6.5 MEDIUM from [email protected]

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

Problem Types: CWE-269 | CWE-862 | CWE-269 CWE-269: Improper Privilege Management | CWE-862 CWE-862: Missing Authorization

VersionSourceTypeScoreSeverityVector
3.1[email protected]Secondary6.5MEDIUMCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N
3.1CNADECLARED6.5MEDIUMCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N

CVSS v3.1 Breakdown

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
High
Availability
None

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

Vendor Declared Affected Products

SourceVendorProductVersionPlatforms
CNA MervinPraison Praisonai-platform affected < 0.1.4 Not specified

References

ReferenceSourceLinkTags
github.com/MervinPraison/PraisonAI/security/advisories/GHSA-rcmc-q9rj-4wmq 134c704f-9b21-4f2e-91b3-4a467353bcc0 github.com
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

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