CVE-2026-47406: praisonai-platform: IDOR enables cross-workspace data poisoning
GHSA-4x6r-9v57-3gqw HIGHCVE-2026-47406 is an Insecure Direct Object Reference flaw in praisonai-platform where a valid workspace member token is sufficient to read, write, and delete issue dependencies across every tenant on the platform — there is no ownership check at the service layer despite a route-level membership gate. For CISOs running AI agent workflows on PraisonAI, the blast radius is significant: a single low-privilege contractor account can corrupt dependency graphs in workspaces they have never been invited to, and a single POST request can poison two foreign workspaces simultaneously. This package has accumulated 59 CVEs, a pattern signaling systemic security debt rather than isolated bugs. Patch immediately to praisonai-platform 0.1.4; if patching is not immediately feasible, network-restrict the dependency API endpoints to trusted internal networks only.
What is the risk?
The CVSS score of 8.1 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N) reflects a low exploitation bar: an attacker needs only a valid workspace member credential, no special configuration, no user interaction, and no complex attack chain. For multi-tenant deployments — the primary model for SaaS AI agent platforms — the effective impact is significantly higher than the base score suggests, since the scope limitation (S:U) does not capture cross-tenant data integrity violation. Single-tenant deployments face lower risk as lateral movement stays within a single organization boundary. There is no public proof-of-concept exploit at time of publication, but the advisory includes a complete code walkthrough of the vulnerable path, reducing attacker development time to near zero and making this functionally PoC-quality disclosure. EPSS data is not yet available given the recency of the advisory.
Attack Kill Chain
What systems are affected?
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| praisonai-platform | pip | <= 0.1.2 | 0.1.4 |
Do you use praisonai-platform? You're affected.
Severity & Risk
Attack Surface
What should I do?
5 steps-
Patch to praisonai-platform 0.1.4 immediately — this is the primary remediation.
-
If patching cannot be executed immediately, network-restrict the dependency API endpoints (/workspaces/*/issues/*/dependencies) to internal trusted networks only.
-
Audit dependency creation logs for anomalies: flag any requests where issue_id or depends_on_issue_id in the request path or body does not belong to the authenticated user's workspace.
-
Implement runtime monitoring for issue IDs appearing in request bodies that resolve to foreign workspace records — this should not occur in a correctly authorized system.
-
If cross-workspace dependency pollution is suspected, rotate all workspace member tokens in affected tenants and audit dependency graphs for attacker-injected blocking relationships.
Classification
Compliance Impact
This CVE is relevant to:
Frequently Asked Questions
What is CVE-2026-47406?
CVE-2026-47406 is an Insecure Direct Object Reference flaw in praisonai-platform where a valid workspace member token is sufficient to read, write, and delete issue dependencies across every tenant on the platform — there is no ownership check at the service layer despite a route-level membership gate. For CISOs running AI agent workflows on PraisonAI, the blast radius is significant: a single low-privilege contractor account can corrupt dependency graphs in workspaces they have never been invited to, and a single POST request can poison two foreign workspaces simultaneously. This package has accumulated 59 CVEs, a pattern signaling systemic security debt rather than isolated bugs. Patch immediately to praisonai-platform 0.1.4; if patching is not immediately feasible, network-restrict the dependency API endpoints to trusted internal networks only.
Is CVE-2026-47406 actively exploited?
No confirmed active exploitation of CVE-2026-47406 has been reported, but organizations should still patch proactively.
How to fix CVE-2026-47406?
1. Patch to praisonai-platform 0.1.4 immediately — this is the primary remediation. 2. If patching cannot be executed immediately, network-restrict the dependency API endpoints (/workspaces/*/issues/*/dependencies) to internal trusted networks only. 3. Audit dependency creation logs for anomalies: flag any requests where issue_id or depends_on_issue_id in the request path or body does not belong to the authenticated user's workspace. 4. Implement runtime monitoring for issue IDs appearing in request bodies that resolve to foreign workspace records — this should not occur in a correctly authorized system. 5. If cross-workspace dependency pollution is suspected, rotate all workspace member tokens in affected tenants and audit dependency graphs for attacker-injected blocking relationships.
What systems are affected by CVE-2026-47406?
This vulnerability affects the following AI/ML architecture patterns: AI agent platforms, multi-tenant SaaS, issue tracking for AI workflows, AI project management systems.
What is the CVSS score for CVE-2026-47406?
CVE-2026-47406 has a CVSS v3.1 base score of 8.1 (HIGH).
AI Security Impact
Affected AI Architectures
MITRE ATLAS Techniques
AML.T0012 Valid Accounts AML.T0048.001 Reputational Harm AML.T0049 Exploit Public-Facing Application AML.T0085.001 AI Agent Tools Compliance Controls Affected
Technical Details
Original Advisory
## Summary **Type:** Insecure Direct Object Reference. The dependency endpoints (`POST/GET /workspaces/{workspace_id}/issues/{issue_id}/dependencies` and `DELETE .../dependencies/{dep_id}`) gate access on `require_workspace_member(workspace_id)` only, then dispatch to `DependencyService` calls that take URL/body-supplied issue and dependency IDs without verifying any of them belong to the membership-checked workspace. Most damaging: `create_dependency` accepts `body.depends_on_issue_id` from the request body — that ID is checked against nothing — letting an attacker create a "blocks" or "related" link between any two issues anywhere in the database. **File:** `src/praisonai-platform/praisonai_platform/api/routes/dependencies.py`, lines 22-58; `services/dependency_service.py`, lines 26-65. **Root cause:** the same `Depends(require_workspace_member)` default-min-role pattern as the companion IDORs, plus a service layer (`DependencyService`) where every method takes raw IDs and queries them directly. `create(issue_id, depends_on_issue_id, ...)` writes a row with no workspace verification on either ID. `list_for_issue(issue_id)` returns dependencies in either direction. `delete(dep_id)` is a primary-key delete with no workspace predicate. ## Affected Code **File 1:** `src/praisonai-platform/praisonai_platform/api/routes/dependencies.py`, lines 22-58. ```python @router.post("/", response_model=DependencyResponse, status_code=status.HTTP_201_CREATED) async def create_dependency( workspace_id: str, issue_id: str, body: DependencyCreate, user: AuthIdentity = Depends(require_workspace_member), session: AsyncSession = Depends(get_db), ): svc = DependencyService(session) dep = await svc.create(issue_id, body.depends_on_issue_id, body.type) # <-- BUG: neither id is workspace-checked return DependencyResponse.model_validate(dep) @router.get("/", response_model=List[DependencyResponse]) async def list_dependencies( workspace_id: str, issue_id: str, user: AuthIdentity = Depends(require_workspace_member), session: AsyncSession = Depends(get_db), ): svc = DependencyService(session) deps = await svc.list_for_issue(issue_id) # <-- BUG: returns dependencies for any issue return [DependencyResponse.model_validate(d) for d in deps] @router.delete("/{dep_id}", status_code=status.HTTP_204_NO_CONTENT) async def delete_dependency( workspace_id: str, issue_id: str, dep_id: str, user: AuthIdentity = Depends(require_workspace_member), session: AsyncSession = Depends(get_db), ): svc = DependencyService(session) deleted = await svc.delete(dep_id) # <-- BUG: deletes any dependency by id if not deleted: raise HTTPException(status_code=404, detail="Dependency not found") ``` **File 2:** `src/praisonai-platform/praisonai_platform/services/dependency_service.py`, lines 26-65. ```python async def create(self, issue_id: str, depends_on_issue_id: str, dep_type: str = "blocks") -> IssueDependency: if dep_type not in VALID_TYPES: raise ValueError(...) dep = IssueDependency( issue_id=issue_id, # <-- accepts any depends_on_issue_id=depends_on_issue_id, # <-- accepts any (from request body) type=dep_type, ) self._session.add(dep); await self._session.flush(); return dep async def list_for_issue(self, issue_id: str) -> list[IssueDependency]: stmt = select(IssueDependency).where( (IssueDependency.issue_id == issue_id) | (IssueDependency.depends_on_issue_id == issue_id) ) return list((await self._session.execute(stmt)).scalars().all()) async def delete(self, dep_id: str) -> bool: dep = await self.get(dep_id) # session.get(IssueDependency, dep_id) — no workspace check ... ``` **Why it's wrong:** the request-body `depends_on_issue_id` is the worst part: an attacker can link any two issues across any two workspaces, polluting both workspaces' dependency graphs with attacker-chosen relationships ("blocks", "blocked_by", "related"). The triagers in the foreign workspace see their issue suddenly blocked by an unrelated foreign issue, breaking sprint planning and creating false correlation. The `delete(dep_id)` path lets an attacker remove legitimate cross-issue links between any two foreign workspaces, also disrupting their planning. The `list_for_issue` path leaks the dependency graph for any issue in the deployment. ## Exploit Chain 1. Attacker is a member of workspace `W_attacker` and harvests two foreign-workspace issue UUIDs `I1` (in `W_target1`) and `I2` (in `W_target2`). They leak via the activity feed, comment threads, error messages, exported dumps, the agent prompt history, or any other channel that ever serialises an issue ID. State: attacker holds two foreign issue UUIDs. 2. Attacker sends `POST /workspaces/W_attacker/issues/I1/dependencies` with `Authorization: Bearer <attacker_jwt>` and body `{"depends_on_issue_id": "I2", "type": "blocks"}`. State: control flow enters `create_dependency` with `issue_id=I1` (foreign), `depends_on_issue_id=I2` (foreign). 3. `require_workspace_member(W_attacker, attacker)` passes (attacker is a member of `W_attacker`). `DependencyService.create(I1, I2, "blocks")` writes a new row `IssueDependency(issue_id=I1, depends_on_issue_id=I2, type="blocks")`. State: there is now a cross-workspace dependency between two foreign issues, written by the attacker. 4. The triage UIs of `W_target1` and `W_target2` now show that the foreign issue is blocked by an unrelated issue in another workspace. Workflow rules that key off "cannot close while blocked" will refuse to let the legitimate triagers close `I1`. State: foreign workflow disrupted. 5. Attacker repeats with `GET /workspaces/W_attacker/issues/I1/dependencies` to read the dependency graph for any foreign issue (information disclosure, project relationship mapping), or with `DELETE .../{dep_id}` (after enumerating dep_ids via the list call) to strip legitimate dependencies between foreign issues, breaking blocked-by chains. 6. Final state: with one workspace-member token, the attacker reads, writes, and deletes dependencies on every issue in the multi-tenant deployment, polluting the dependency graphs of foreign workspaces. ## Security Impact **Severity:** sec-high. CVSS 7.6: network attack, low complexity, low privileges, no user interaction, scope unchanged, high confidentiality (cross-workspace dependency graph disclosure), high integrity (cross-workspace dependency injection and deletion), no availability claim (workflow disruption is integrity, not availability). **Attacker capability:** read any issue's dependency graph; create arbitrary "blocks" / "blocked_by" / "related" links between any two issues across any two workspaces; delete any dependency by id. The most surprising primitive is the cross-workspace LINKING — the only one of the IDORs in this codebase where a single attacker request can affect TWO foreign workspaces at once. **Preconditions:** `praisonai-platform` is deployed multi-tenant; attacker has any membership token; foreign issue UUIDs are reachable. **Differential:** source-inspection-verified end-to-end. The asymmetry between this service (no workspace predicate anywhere) and `MemberService.get(workspace_id, user_id)` (correctly composite-keyed) confirms the gap. With the suggested fix below, the route would resolve both the URL `issue_id` and the body `depends_on_issue_id` against `IssueService.get(workspace_id, ...)` before allowing the dependency to be written. ## Suggested Fix Resolve every issue id (URL and body) against `workspace_id` at the route layer before dispatching. The route helper from the issue-IDOR companion advisory can be reused. ```diff --- a/src/praisonai-platform/praisonai_platform/api/routes/dependencies.py +++ b/src/praisonai-platform/praisonai_platform/api/routes/dependencies.py @@ -22,11 +22,16 @@ @router.post("/", response_model=DependencyResponse, status_code=status.HTTP_201_CREATED) async def create_dependency( workspace_id: str, issue_id: str, body: DependencyCreate, user: AuthIdentity = Depends(require_workspace_member), session: AsyncSession = Depends(get_db), ): + issue_svc = IssueService(session) + if await issue_svc.get(workspace_id, issue_id) is None: + raise HTTPException(status_code=404, detail="Issue not found") + if await issue_svc.get(workspace_id, body.depends_on_issue_id) is None: + raise HTTPException(status_code=404, detail="depends_on_issue_id not found in this workspace") svc = DependencyService(session) dep = await svc.create(issue_id, body.depends_on_issue_id, body.type) return DependencyResponse.model_validate(dep) ``` Apply the same `issue_svc.get(workspace_id, issue_id)` precondition to `list_dependencies` and `delete_dependency` (verifying both the issue and the dependency belong to `workspace_id`).
Exploitation Scenario
A contractor is granted a legitimate seat in an attacker-controlled workspace on a shared PraisonAI platform instance. During normal platform activity — browsing shared agent context windows, reading activity feeds, or observing error responses that serialize internal issue UUIDs — the attacker harvests foreign workspace issue IDs from a target organization also using the platform. With two foreign issue UUIDs in hand, the attacker sends a single authenticated POST to /workspaces/{attacker_workspace_id}/issues/{foreign_issue_A}/dependencies with body {"depends_on_issue_id": "{foreign_issue_B}"}. The route-level workspace membership check passes; DependencyService.create never validates that either ID belongs to the attacker's workspace. The result is a phantom blocking relationship injected between two issues in the target's workspace — their critical AI model deployment issue now shows as blocked by an unrelated issue, halting their release pipeline until the poisoned dependency is manually detected and removed.
Weaknesses (CWE)
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N References
Timeline
Related Vulnerabilities
CVE-2026-47392 9.9 praisonaiagents: RCE via Python sandbox bypass
Same package: praisonai GHSA-vc46-vw85-3wvm 9.8 PraisonAI: RCE via malicious workflow YAML execution
Same package: praisonai CVE-2026-39890 9.8 PraisonAI: YAML deserialization enables unauthenticated RCE
Same package: praisonai GHSA-9qhq-v63v-fv3j 9.8 PraisonAI: RCE via MCP command injection
Same package: praisonai CVE-2026-47410 9.8 praisonai-platform: hardcoded JWT → full account takeover
Same package: praisonai