Cybersecurity

CISA Warns of Exploitation of Critical MLflow Vulnerability to Access Internal Services and Cloud Metadata

CISA added a critical vulnerability in the MLflow platform to its Known Exploited Vulnerabilities catalog after it allowed unauthenticated attackers to send requests to internal services and cloud metadata endpoints and read their responses. The vulnerability was fixed in version 3.15.0, while U.S. federal civilian agencies were instructed to secure affected systems within two weeks.

2026-08-20
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certi.news Editorial Team
CISA Warns of Exploitation of Critical MLflow Vulnerability to Access Internal Services and Cloud Metadata

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) warned of active exploitation of a critical vulnerability in MLflow, an open-source platform used to engineer artificial intelligence applications, and added it to its catalog of vulnerabilities exploited in real-world attacks. The agency ordered U.S. federal civilian executive agencies to secure affected MLflow instances within two weeks, while urging all network defenders to prioritize the patch.

The vulnerability, tracked as CVE-2026-64849, exists in MLflow’s outgoing webhook delivery mechanism. Exploitation relies on a server-side request forgery (SSRF) bypass using DNS rebinding, allowing an unauthorized attacker to force an MLflow server to send HTTP requests to internal destinations that cannot be accessed directly from the internet.

What Can the Attacker Access?

According to the MLflow security team, the tracking server’s default configuration, when run without authentication and using the default SQLite database, exposes the model registry webhook API without protection. This includes the POST /api/2.0/mlflow/webhooks/{id}/test endpoint, which returns the response status and content from the service contacted by the server to the caller.

In this way, an attacker who can access the tracking server can send requests to internal or local addresses and then read the results through the aforementioned endpoint. Potential targets include management services hidden behind network boundaries, internal ports and hosts, as well as metadata endpoints belonging to cloud service providers. In cases such as the AWS IMDS service, this could expose cloud IAM credentials.

Patch and Government Requirements

MLflow fixed the issue in version 3.15.0. The security agency describes the exploitation as low complexity and says it could enable the theft of cloud credentials, such as AWS IAM credentials, without requiring prior privileges.

CISA added the vulnerability to its Known Exploited Vulnerabilities catalog on Wednesday and required U.S. federal civilian executive branch agencies to meet a two-week deadline under Binding Operational Directive BOD 26-04. The directive prioritizes remediation when vulnerable assets are exposed to the internet, when the vulnerability is listed in the CISA catalog, when its exploitation can be automated at scale, or when exploitation gives the attacker partial or complete control over the targeted system.

Why Does This Warning Matter?

MLflow is used by thousands of organizations and receives more than 30 million downloads per month. The platform also supports debugging, evaluating, optimizing, and monitoring artificial intelligence applications. Therefore, the vulnerability’s impact is not limited to a single server; an accessible and unprotected tracking server could turn a component intended to manage artificial intelligence applications into a gateway to internal services or cloud credentials.

BOD 26-04 applies only to U.S. government agencies, but CISA urged all network defenders to assess the internet exposure of MLflow instances and update them to version 3.15.0 or a later available release. The warning emphasizes that assessing each asset and applying remediation guidance remains the responsibility of the operating organization.

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What you need to know

CISA warns of active exploitation of a critical MLflow vulnerability that allows an unauthenticated attacker to access internal services and cloud metadata, potentially exposing AWS IAM credentials. The vulnerability was fixed in MLflow 3.15.0, and affected systems should be scanned and updated to this version or later.

  • The CVE-2026-64849 vulnerability exists in MLflow’s webhooks mechanism.
  • Exploitation relies on bypassing SSRF protections through DNS rebinding to force the MLflow server to send requests to internal destinations.
  • An attacker may be able to read responses from internal services and cloud metadata endpoints through the POST /api/2.0/mlflow/webhooks/{id}/test endpoint.
  • Exploitation may expose cloud credentials, including AWS IAM credentials through the AWS IMDS service.
  • MLflow fixed the issue in version 3.15.0, and CISA asked federal civilian executive agencies to secure affected systems within two weeks.
  • CISA urged all network defense administrators to check whether MLflow instances are exposed to the internet and update them.

FAQ

What is the vulnerability addressed in the warning?

It is CVE-2026-64849, a critical SSRF vulnerability in MLflow’s webhooks mechanism.

Which version fixes the issue?

The vulnerability was fixed in MLflow 3.15.0, and using this version or a later available version is recommended.

What might an attacker access?

An attacker may access internal services, hosts, blocked ports, and cloud metadata endpoints, and may read AWS IAM credentials in some cases.

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