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PYSEC-2026-2570
No affected components available
Vulnerability
IDOR in GET/PATCH/DELETE /api/v1/flow/{flow_id}
The _read_flow helper in src/backend/base/langflow/api/v1/flows.py branched on the AUTO_LOGIN setting to decide whether to filter by user_id. When AUTO_LOGIN was False (i.e., authentication was enabled), neither branch enforced an ownership check — the query returned any flow matching the given UUID regardless of who owned it.
This exposed any authenticated user to:
- Read any other user's flow, including embedded plaintext API keys
- Modify the logic of another user's AI agents
- Delete flows belonging to other users
The vulnerability was introduced by the conditional logic that was meant to accommodate public/example flows (those with user_id = NULL) under auto-login mode, but inadvertently left the authenticated path without an ownership filter.
Fix (PR #8956)
The fix removes the AUTO_LOGIN conditional entirely and unconditionally scopes the query to the requesting user:
- auth_settings = settings_service.auth_settings
- stmt = select(Flow).where(Flow.id == flow_id)
- if auth_settings.AUTO_LOGIN:
- stmt = stmt.where(
- (Flow.user_id == user_id) | (Flow.user_id == None) # noqa: E711
- )
+ stmt = select(Flow).where(Flow.id == flow_id).where(Flow.user_id == user_id)
All three operations — read, update, and delete — route through _read_flow, so the single change covers the full attack surface. A cross-user isolation test (test_read_flows_user_isolation) was added to prevent regression.
Acknowledgements
Langflow thanks the security researcher who responsibly disclosed this vulnerability:
The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. No user interaction is needed for the attacker to exploit this vulnerability.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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