Machine-written summary
Summary written by Claude Haiku from the source advisory. Not reviewed by a person.
Langflow versions before 1.9.0 are affected. The POST /api/v1/build_public_tmp/{flow_id}/flow endpoint accepts attacker-supplied flow data for public flows without authentication, and that data can contain Python code that the server executes. An unauthenticated attacker who knows a public flow's ID could run arbitrary code with the server process's privileges. Upgrade to Langflow 1.9.0 or later.
Not analysed yet
We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.
Severity and exploitation
| Score | Rating | CVSS | Vector | Source |
|---|---|---|---|---|
| 9.3 | Critical | 4.0 | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:L/SI:L/SA:L | CNA (GitHub_M) |
- CISA KEV Listed since 25 Mar 2026: known to be exploited.
- EPSS 0.96, the 99th percentile, on 13 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.
Timeline
- 31 Oct 2026, 15:04 UTC First seen by agentprime
- 31 Oct 2026, 15:04 UTC Confirmed by OSV
Sources
- GitHub Advisory Database: GHSA-vwmf-pq79-vjvx
- OSV: GHSA-vwmf-pq79-vjvx
- github.com/langflow-ai/langflow/security/advisories/GHSA-vwmf-pq79-vjvx
- nvd.nist.gov/vuln/detail/CVE-2026-33017
- github.com/langflow-ai/langflow/issues/12345
- github.com/langflow-ai/langflow/pull/12160
- github.com/langflow-ai/langflow/commit/73b6612e3ef25fdae0a752d75b0fabd47328d4f0
- github.com/advisories/GHSA-rvqx-wpfh-mfx7
- github.com/langflow-ai/langflow
- github.com/langflow-ai/langflow/releases/tag/1.8.2
- medium.com/@aviral23/cve-2026-33017-how-i-found-an-unauthenticated-rce-in-langflow-by-reading-the-code-they-already-dc96cdce5896
- www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2025-33017
- www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-33017
- www.sysdig.com/blog/cve-2026-33017-how-attackers-compromised-langflow-ai-pipelines-in-20-hours