CVE-2026-47411

PraisonAI 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.

PraisonAI 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.

Summary

Type: 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. File: src/praisonai-platform/praisonai_platform/api/routes/workspaces.py, lines 63-74; services/workspace_service.py's update() method. Root cause: Depends(require_workspace_member) resolves to default min_role="member". WorkspaceService.update(workspace_id, name, description, settings) writes the new fields to the workspace row without any caller-permission check. The role hierarchy (MemberService.has_role) is never consulted.

Affected Code

File: src/praisonai-platform/praisonai_platform/api/routes/workspaces.py, lines 63-74.

@router.patch("/{workspace_id}", response_model=WorkspaceResponse)
async def update_workspace(
    workspace_id: str,
    body: WorkspaceUpdate,
    user: AuthIdentity = Depends(require_workspace_member),         # <-- BUG: defaults to min_role="member"
    session: AsyncSession = Depends(get_db),
):
    ws_svc = WorkspaceService(session)
    ws = await ws_svc.update(workspace_id, body.name, body.description, body.settings)  # <-- writes any value
    if ws is None:
        raise HTTPException(status_code=404, detail="Workspace not found")
    return WorkspaceResponse.model_validate(ws)

Why it's wrong: workspace name and settings are owner-tier fields. Renaming the workspace to a profanity is a low-impact griefing vector; rewriting the JSON settings blob is potentially a much higher-impact configuration injection (depending on what fields downstream code reads from settings, the attacker may flip feature flags, redirect webhook URLs, change LLM provider keys for shared configs, disable audit logging, etc.). The require_workspace_member(min_role) parameter is implemented and unused. This endpoint should require owner.

Exploit Chain

1. Attacker is a member of workspace W with role "member". State: attacker holds JWT.
2. Attacker sends PATCH /workspaces/W with Authorization: Bearer <attacker_jwt> and body {"name": "Compromised", "description": "Owned by attacker", "settings": {"allow_public_invite": true, "ai_provider_url": "https://attacker.example/v1"}}. State: control flow enters update_workspace.
3. require_workspace_member(W, attacker) passes. WorkspaceService.update(W, ...) writes the three fields. State: workspace W now has attacker-chosen name, description, and settings.
4. The settings JSON is read by any downstream code that consults workspace settings (LLM proxying, invite flows, webhook routing). If the deployment uses settings-keyed configuration overrides, those overrides now point at attacker-controlled endpoints.
5. Final state: with one member-level token plus one PATCH, the attacker rewrites the workspace's metadata and settings, with effects ranging from cosmetic (rename) to substantive (settings-keyed config injection).

Security Impact

Severity: sec-moderate. CVSS 6.5: network attack, low complexity, low privileges, no user interaction, scope unchanged, no confidentiality directly (though settings rewrites may enable indirect data exfiltration via attacker-pointed integration URLs), high integrity, no availability claim. Attacker capability: rewrite any workspace's name, description, and settings JSON. The actual blast radius depends on what fields the deployment reads from settings — but that field is documented as a free-form JSON blob, so any future configuration the platform adds there becomes attacker-tunable. Preconditions: praisonai-platform is deployed multi-tenant; attacker…

PraisonAI 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.

PraisonAI 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.

Summary

Type: 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. File: src/praisonai-platform/praisonai_platform/api/routes/workspaces.py, lines 63-74; services/workspace_service.py's update() method. Root cause: Depends(require_workspace_member) resolves to default min_role="member". WorkspaceService.update(workspace_id, name, description, settings) writes the new fields to the workspace row without any caller-permission check. The role hierarchy (MemberService.has_role) is never consulted.

Affected Code

File: src/praisonai-platform/praisonai_platform/api/routes/workspaces.py, lines 63-74.

@router.patch("/{workspace_id}", response_model=WorkspaceResponse)
async def update_workspace(
    workspace_id: str,
    body: WorkspaceUpdate,
    user: AuthIdentity = Depends(require_workspace_member),         # <-- BUG: defaults to min_role="member"
    session: AsyncSession = Depends(get_db),
):
    ws_svc = WorkspaceService(session)
    ws = await ws_svc.update(workspace_id, body.name, body.description, body.settings)  # <-- writes any value
    if ws is None:
        raise HTTPException(status_code=404, detail="Workspace not found")
    return WorkspaceResponse.model_validate(ws)

Why it's wrong: workspace name and settings are owner-tier fields. Renaming the workspace to a profanity is a low-impact griefing vector; rewriting the JSON settings blob is potentially a much higher-impact configuration injection (depending on what fields downstream code reads from settings, the attacker may flip feature flags, redirect webhook URLs, change LLM provider keys for shared configs, disable audit logging, etc.). The require_workspace_member(min_role) parameter is implemented and unused. This endpoint should require owner.

Exploit Chain

1. Attacker is a member of workspace W with role "member". State: attacker holds JWT.
2. Attacker sends PATCH /workspaces/W with Authorization: Bearer <attacker_jwt> and body {"name": "Compromised", "description": "Owned by attacker", "settings": {"allow_public_invite": true, "ai_provider_url": "https://attacker.example/v1"}}. State: control flow enters update_workspace.
3. require_workspace_member(W, attacker) passes. WorkspaceService.update(W, ...) writes the three fields. State: workspace W now has attacker-chosen name, description, and settings.
4. The settings JSON is read by any downstream code that consults workspace settings (LLM proxying, invite flows, webhook routing). If the deployment uses settings-keyed configuration overrides, those overrides now point at attacker-controlled endpoints.
5. Final state: with one member-level token plus one PATCH, the attacker rewrites the workspace's metadata and settings, with effects ranging from cosmetic (rename) to substantive (settings-keyed config injection).

Security Impact

Severity: sec-moderate. CVSS 6.5: network attack, low complexity, low privileges, no user interaction, scope unchanged, no confidentiality directly (though settings rewrites may enable indirect data exfiltration via attacker-pointed integration URLs), high integrity, no availability claim. Attacker capability: rewrite any workspace's name, description, and settings JSON. The actual blast radius depends on what fields the deployment reads from settings — but that field is documented as a free-form JSON blob, so any future configuration the platform adds there becomes attacker-tunable. Preconditions: praisonai-platform is deployed multi-tenant; attacker…

Summary

Type: 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. File: src/praisonai-platform/praisonai_platform/api/routes/workspaces.py, lines 63-74; services/workspace_service.py's update() method. Root cause: Depends(require_workspace_member) resolves to default min_role="member". WorkspaceService.update(workspace_id, name, description, settings) writes the new fields to the workspace row without any caller-permission check. The role hierarchy (MemberService.has_role) is never consulted.

Affected Code

File: src/praisonai-platform/praisonai_platform/api/routes/workspaces.py, lines 63-74.

@router.patch("/{workspace_id}", response_model=WorkspaceResponse)
async def update_workspace(
    workspace_id: str,
    body: WorkspaceUpdate,
    user: AuthIdentity = Depends(require_workspace_member),         # <-- BUG: defaults to min_role="member"
    session: AsyncSession = Depends(get_db),
):
    ws_svc = WorkspaceService(session)
    ws = await ws_svc.update(workspace_id, body.name, body.description, body.settings)  # <-- writes any value
    if ws is None:
        raise HTTPException(status_code=404, detail="Workspace not found")
    return WorkspaceResponse.model_validate(ws)

Why it's wrong: workspace name and settings are owner-tier fields. Renaming the workspace to a profanity is a low-impact griefing vector; rewriting the JSON settings blob is potentially a much higher-impact configuration injection (depending on what fields downstream code reads from settings, the attacker may flip feature flags, redirect webhook URLs, change LLM provider keys for shared configs, disable audit logging, etc.). The require_workspace_member(min_role) parameter is implemented and unused. This endpoint should require owner.

Exploit Chain

1. Attacker is a member of workspace W with role "member". State: attacker holds JWT.
2. Attacker sends PATCH /workspaces/W with Authorization: Bearer <attacker_jwt> and body {"name": "Compromised", "description": "Owned by attacker", "settings": {"allow_public_invite": true, "ai_provider_url": "https://attacker.example/v1"}}. State: control flow enters update_workspace.
3. require_workspace_member(W, attacker) passes. WorkspaceService.update(W, ...) writes the three fields. State: workspace W now has attacker-chosen name, description, and settings.
4. The settings JSON is read by any downstream code that consults workspace settings (LLM proxying, invite flows, webhook routing). If the deployment uses settings-keyed configuration overrides, those overrides now point at attacker-controlled endpoints.
5. Final state: with one member-level token plus one PATCH, the attacker rewrites the workspace's metadata and settings, with effects ranging from cosmetic (rename) to substantive (settings-keyed config injection).

Security Impact

Severity: sec-moderate. CVSS 6.5: network attack, low complexity, low privileges, no user interaction, scope unchanged, no confidentiality directly (though settings rewrites may enable indirect data exfiltration via attacker-pointed integration URLs), high integrity, no availability claim. Attacker capability: rewrite any workspace's name, description, and settings JSON. The actual blast radius depends on what fields the deployment reads from settings — but that field is documented as a free-form JSON blob, so any future configuration the platform adds there becomes attacker-tunable. Preconditions: praisonai-platform is deployed multi-tenant; attacker…