How severe is CVE-2026-64849?

CVE-2026-64849 has a CVSS 3.x base score of 9.3, rated critical severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity low, and availability none.

Is CVE-2026-64849 being actively exploited?

Yes. CVE-2026-64849 is on CISA's Known Exploited Vulnerabilities (KEV) catalog, added on 2026-08-19, which means active exploitation has been confirmed. It should be prioritised for remediation.

What products are affected by CVE-2026-64849?

CVE-2026-64849 affects Lfprojects Mlflow. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2026-64849?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Because this CVE is known to be actively exploited, treat remediation as urgent — CISA KEV typically sets a short remediation deadline.

When was CVE-2026-64849 published?

CVE-2026-64849 was published on 2026-08-17 and last updated on 2026-08-20.

CVE-2026-64849

CVE-2026-64849 is a critical-severity vulnerability in Lfprojects Mlflow with a CVSS 3.x base score of 9.3. It is listed in CISA's Known Exploited Vulnerabilities (KEV) catalog, confirming it has been exploited in the wild (added 2026-08-19). The underlying weakness is classified as CWE-918.

Key facts

Severity: Critical (CVSS 3.x base score 9.3)
EPSS exploit prediction: 8% (94th percentile)
Actively exploited: Yes — listed in CISA KEV (added 2026-08-19)
Weakness: CWE-918
Affected product: Lfprojects Mlflow
Published: 2026-08-17
Last modified: 2026-08-20

Description

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, the unauthenticated POST /api/2.0/mlflow/webhooks/{id}/test endpoint calls _validate_webhook_url() in mlflow/utils/validation.py only for the original URL while mlflow/webhooks/delivery.py follows redirects and re-resolves the hostname without pinning the validated address, allowing attackers to reach internal or cloud metadata services and receive response_status and response_body. This issue is fixed in version 3.15.0.

Frequently asked questions

What is CVE-2026-64849?: MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, the unauthenticated POST /api/2.0/mlflow/webhooks/{id}/test endpoint calls _validate_webhook_url() in mlflow/utils/validation.py only for the original URL while mlflow/webhooks/delivery.py follows redirects and re-resolves the hostname without pinning the validated address, allowing attackers to reach internal or cloud metadata services and receive response_status and response_body. This issue is fixed in version 3.15.0.
How severe is CVE-2026-64849?: CVE-2026-64849 has a CVSS 3.x base score of 9.3, rated critical severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity low, and availability none.
Is CVE-2026-64849 being actively exploited?: Yes. CVE-2026-64849 is on CISA's Known Exploited Vulnerabilities (KEV) catalog, added on 2026-08-19, which means active exploitation has been confirmed. It should be prioritised for remediation.
What products are affected by CVE-2026-64849?: CVE-2026-64849 affects Lfprojects Mlflow. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2026-64849?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Because this CVE is known to be actively exploited, treat remediation as urgent — CISA KEV typically sets a short remediation deadline.
When was CVE-2026-64849 published?: CVE-2026-64849 was published on 2026-08-17 and last updated on 2026-08-20.

References

Affected products (1)

cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*

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