MLflow: Mehrere Schwachstellen ermöglichen Offenlegung von Informationen
WID-SEC-2026-3875 · first 13.10.2026 · updated 29.10.2026 · CVSS 7,5
What it is about
MLflow ist eine Open-Source-Plattform zur Verwaltung des gesamten Machine-Learning-Lebenszyklus, einschließlich Experimenten, Reproduzierbarkeit und Bereitstellung. Ein Angreifer kann mehrere Schwachstellen in MLflow ausnutzen, um Informationen offenzulegen.
Under what conditions?
The BSI does not name any particular preconditions. Exploitable remotely according to the BSI.
What can happen in the worst case
An attacker could use the vulnerability to
- Informationen offenzulegen
Am I affected?
Affected according to the BSI:
- Open Source MLflow >=3.10.0
- Open Source MLflow <3.17.0
- Open Source MLflow >=2.19.0
The installed version is usually shown under “Help → About” or in the device’s admin interface.
What helps?
Update to at least:
- Open Source MLflow >=3.10.0
- Open Source MLflow 3.17.0
- Open Source MLflow >=2.19.0
Is the vulnerability already being exploited?
None of the CVEs is in the CISA catalogue of exploited vulnerabilities. That does not mean there are no attacks, only that none are documented.
Information and sources
- Original BSI advisory (WID)
- GitHub Security Advisory GHSA-j7qq-vr8c-xvw3 vom 2026-10-12 github.com
- GitHub Security Advisory GHSA-m65p-9j7q-6w33 vom 2026-10-12 github.com
CVE: CVE-2026-116691, CVE-2026-116690
Source: BSI warning and information service (CERT-Bund); CISA. The assessment of the conditions is my reading of the BSI text; the external pages are in their original language.