GHSA-8c4j-f57c-35cf
Langflow: Authenticated Users Can Read, Modify, and Delete Any Flow via Missing Ownership Check
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Blast Radius
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Description
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:
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | langflow | all versions | 1.5.1 |
| 🐍PyPI | langflow-base | all versions | 0.5.1 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for langflow. 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 langflow to 1.5.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-8c4j-f57c-35cf 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-8c4j-f57c-35cf 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-8c4j-f57c-35cf. 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-8c4j-f57c-35cf in your dependencies?
O3 detects GHSA-8c4j-f57c-35cf across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.