CVSS 3.1
Вероятност да бъде експлоатирана в следващите 30 дни (EPSS)
Атакува се
Време до експлоатация
Атакува се по мрежата, без особени условия, с обикновен потребителски вход и без действие от потребителя.
- Експлоатация: има публичен пример за експлоатация
- Атаката не може да се автоматизира
Описание
Оригинално описание
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 2.19.0 until 3.17.0, mlflow.crewai.autolog() records CrewAI Agent objects without consistently sanitizing nested credential-bearing values. mlflow/crewai/autolog.py::_get_agent_attributes() converts the Agent llm field to a string that includes the provider API key, while mlflow/crewai/autolog.py::_construct_full_inputs() expands the Agent object into mlflow.spanInputs. Applications can therefore send plaintext provider credentials to the MLflow trace backend or a configured OTLP destination, where trace readers can obtain them. This issue is fixed in version 3.17.0.
Засегнати продукти
- mlflow mlflow: >= 2.19.0, < 3.17.0
Вид слабост
История
- 27 октомври 2026 Публикувано
Други уязвимости в mlflow mlflow
Първоизточници
- https://www.cve.org/CVERecord?id=CVE-2026-116691
- https://nvd.nist.gov/vuln/detail/CVE-2026-116691
- https://github.com/mlflow/mlflow/security/advisories/GHSA-j7qq-vr8c-xvw3
- https://github.com/mlflow/mlflow/pull/25845
- https://github.com/mlflow/mlflow/commit/20927930d27f0072fcfeb7f024f24ad8c5e77c47
- https://github.com/mlflow/mlflow/releases/tag/v3.17.0