GHSA-2fjj-qqg8-fg7x
MEDIUMGHSA-2fjj-qqg8-fg7x is a medium-severity (CVSS 4.3) CWE-639 vulnerability in praisonai-platform. O3 Security confirms whether GHSA-2fjj-qqg8-fg7x is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.
praisonai-platform: Authorization Bypass Through User-Controlled Key
Blast Radius
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Description
Summary
The issue create and update endpoints in praisonai-platform accept a project_id in the request body and persist it without validating that the project belongs to the URL workspace. A user who is a member of workspace W_B (and has no access to workspace W_A) can create issues that reference a project owned by W_A. Because ProjectService.get_stats() aggregates issues by project_id with no workspace constraint, those foreign issues are then counted in the victim's own legitimate view of their project statistics. This is a cross-tenant integrity violation reachable by an outsider.
This is distinct from the path-parameter IDOR family fixed in 0.1.4 (CVE-2026-47415, CVE-2026-47418, CVE-2026-47419). Those fixes scoped object references supplied in the URL path. This report concerns an object reference supplied in the request body at write time, which the 0.1.4 fixes did not cover.
Version 0.1.4 fixed a set of path-parameter IDORs by threading workspace_id into the service-layer lookups (get / update / delete) and by adding the helpers ensure_resource_in_workspace() and require_issue_in_workspace() in api/deps.py. Those helpers are applied to object references that arrive in the URL path. They are not applied to object references that arrive in the request body on create or update.
Details
api/routes/issues.py, create_issue passes the body's project_id straight through with no workspace validation:
@router.post("/", response_model=IssueResponse, status_code=201)
async def create_issue(workspace_id: str, body: IssueCreate,
user=Depends(require_workspace_member), session=Depends(get_db)):
svc = IssueService(session)
issue = await svc.create(
workspace_id=workspace_id,
title=body.title,
creator_id=user.id,
project_id=body.project_id, # attacker-controlled, not validated against workspace_id
...
)
services/issue_service.py, create persists it as-is:
issue = Issue(
workspace_id=workspace_id,
project_id=project_id, # no check that project_id belongs to workspace_id
...
)
services/issue_service.py, update has the identical gap on the update path:
if project_id is not None:
issue.project_id = project_id # re-parent to any project, no workspace check
services/project_service.py, get_stats aggregates by project_id only:
async def get_stats(self, project_id: str) -> dict:
stmt = (
select(Issue.status, func.count(Issue.id))
.where(Issue.project_id == project_id) # no workspace_id constraint
.group_by(Issue.status)
)
...
Note that the read path is not directly vulnerable. The stats route scopes the project first, so a cross-workspace stats read returns 404:
@router.get("/{project_id}/stats")
async def project_stats(workspace_id, project_id, user=Depends(require_workspace_member), ...):
project = await svc.get(project_id, workspace_id=workspace_id) # 404 for a foreign project
if project is None:
raise HTTPException(404, "Project not found")
return await svc.get_stats(project_id)
The pollution therefore enters through the write side (issue create/update accepting a foreign project_id) and surfaces in the victim's own legitimate read of their project statistics.
Proof of concept
Two unrelated users:
- Alice, member of workspace
W_A, owns projectP_A. - Bob, member of workspace
W_Bonly. Bob has no access toW_A(every direct call toW_Aresources returns 403).
Steps:
-
Alice's project
P_Ahas one in-progress issue.GET /workspaces/W_A/projects/P_A/statsreturns{"total": 1, "by_status": {"in_progress": 1}}. -
Bob creates issues in his own workspace that reference Alice's project. Repeat 7 times:
POST /workspaces/W_B/issues Authorization: Bearer <Bob's token> Content-Type: application/json {"title": "x", "project_id": "P_A", "status": "done"}Each returns 201. Each issue is stored with
workspace_id = W_Bandproject_id = P_A. -
Alice reads her own project stats:
GET /workspaces/W_A/projects/P_A/statsnow returns{"total": 8, "by_status": {"done": 7, "in_progress": 1}}.
Bob is not a member of W_A, yet data he wrote appears in Alice's project dashboard.
Impact
An unauthorized outsider can inflate or skew the issue counts shown in any workspace's project-statistics view, given only the target project_id (a UUID that can be harvested or guessed). The effect is limited to the statistics aggregation; it does not expose the victim's issue contents to the attacker and does not appear in the victim's workspace-scoped issue list. The same unvalidated write path also accepts cross-workspace parent_issue_id and assignee_id values, which have no aggregation read endpoint today but represent the same dangling cross-workspace reference class and should be fixed together.
Suggested fix
On both issue create and update, validate that any body-supplied object reference resolves within the URL workspace before persisting, reusing the existing pattern:
if body.project_id is not None:
project = await ProjectService(session).get(body.project_id, workspace_id=workspace_id)
if project is None:
raise HTTPException(404, "Project not found")
Apply the same check to parent_issue_id (via require_issue_in_workspace) and to assignee_id. As defense in depth, scope get_stats so it only counts issues whose workspace_id matches the project's workspace.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | praisonai-platform | all versions | 0.1.8 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for praisonai-platform. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update praisonai-platform to 0.1.8 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-2fjj-qqg8-fg7x is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-2fjj-qqg8-fg7x is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-2fjj-qqg8-fg7x. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-2fjj-qqg8-fg7x in your dependencies?
O3 detects GHSA-2fjj-qqg8-fg7x across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.