Mlflow vulnerabilitiesAnd the versions its exploited flaws hit.

Product1 known exploited134 versions
The short answer

Mlflow is made by Lfprojects. We track 53 published vulnerabilities in it, across 134 versions. 1 of them is on the list of flaws known to be exploited, the newest added on 19 August 2026. If you run Mlflow, check your version against the exploited flaws below and patch those first.

Check your version

The most recent Mlflow flaw added to the known-exploited list is CVE-2026-64849, on 19 August 2026. We keep watching the known-exploited list.

Versions

Which versions of Mlflow do the exploited flaws hit?

Each exploited flaw lists the versions it affects, usually as ranges. "3.3.0 to before 3.15.0" means from 3.3.0 up to, but not including, 3.15.0. Find your version, then patch.

  • CVE-2026-64849Exploited list, 19 Aug 2026

    MLflow Server-Side Request Forgery Vulnerability

    3.3.0 to before 3.15.0
Known exploited

Which Mlflow vulnerabilities are being exploited?

1 flaw is on the government list of vulnerabilities known to be exploited. These are the ones criminals are using now, so they go first, whatever their severity score says.

  1. 9.3
    CVE-2026-64849CriticalKnown exploited
    MLflow Server-Side Request Forgery Vulnerability

    MLflow contains a server-side request forgery vulnerability that can allow attackers to reach internal or cloud metadata services and receive response_status and response_body.

    Chance of use9.8%Known exploited since19 Aug 2026
Exploit likelihood

Which Mlflow flaws are most likely to be used?

Ranked by the latest exploit-likelihood forecast: the chance each flaw is used in an attack in the next 30 days. A high severity score on its own doesn't tell you that. Flaws shared by many other makers' products are left out.

50% or more10% to 49%Under 10%
  1. 90%

    Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2.

    CVSS7.5Published18 Dec 2023
  2. 70%

    Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.2.1.

    CVSS9.8Published24 Mar 2023
  3. 68%

    Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.5.0.

    CVSS10.0Published19 Jul 2023
  4. 48%

    An attacker can overwrite any file on the server hosting MLflow without any authentication.

    CVSS9.8Published16 Nov 2023
  5. 43%

    A path traversal vulnerability exists in mlflow/mlflow version 2.11.0, identified as a bypass for the previously addressed CVE-2023-6909.

    CVSS7.5Published16 May 2024
  6. 37%

    An issue in MLFlow versions 2.8.1 and before allows a remote attacker to obtain sensitive information via a crafted request to REST API.

    CVSS7.5Published5 Dec 2023
  7. 26%

    MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability.

    CVSS9.8Published29 Oct 2025
  8. 22%

    A Local File Inclusion (LFI) vulnerability was identified in mlflow/mlflow, specifically in version 2.9.2, which was fixed in version 2.11.3.

    CVSS7.5Published6 Jun 2024
  9. 11%

    In mlflow/mlflow version 2.17.2, the `/graphql` endpoint is vulnerable to a denial of service attack.

    CVSS7.5Published20 Mar 2025
  10. 9.8%
    CVE-2026-64849CriticalKnown exploited

    MLflow is an open source AI engineering platform for agents, large language models, and machine learning models.

    CVSS9.3Published17 Aug 2026
Precursor Intelligence

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We track 53 published vulnerabilities listed under the name Mlflow, across 134 versions. The most recent Mlflow flaw added to the known-exploited list is CVE-2026-64849, on 19 August 2026.

1 is on the list of flaws known to be exploited. The most recently added is CVE-2026-64849.

Each flaw names its own versions, usually as ranges. The newest, CVE-2026-64849, affects 3.3.0 to before 3.15.0. The versions for every exploited flaw are listed on this page.

Create a Precursor Intelligence account and track Mlflow. We match it against every published flaw, give each one a risk score from 0 to 100 and keep watching, so you hear about new ones as soon as we know, by email, in the app or by webhook.