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cve recordcriticalexploited in the wild

CVE-2026-64849

MLflow · MLflow · MLflow Server-Side Request Forgery Vulnerability

Published · Added to CISA KEV
CVSS9.3
Severitycritical
WeaknessCWE-918
ExploitedYes, in CISA KEV
Ransomware useUnknown
Federal fix dueSep 2, 2026

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N

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.

Required action (CISA)

Apply mitigations in accordance with vendor instructions, ensuring compliance with CISA’s BOD 26-04 Prioritizing Security Updates Based on Risk (see URL in Notes) guidance and CISA’s “Forensics Triage Requirements” (see URL in Notes). Follow applicable BOD 26-04 guidance for cloud services or discontinue use of the product if mitigations are unavailable. Stakeholders are responsible for evaluating each asset's internet exposure and ensuring adherence to BOD 26-04 patching guidelines.

References

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Our coverage of CVE-2026-64849

CVE-2026-19478high

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This week's cybersecurity landscape features AI-powered attacks targeting industrial control systems, a critical vulnerability in GitLab being actively exploited, and the discovery of trojanized npm packages delivering a sophisticated Linux backdoor. Additionally, researchers revealed a method to exploit expired credit cards for contactless payments, and several other vulnerabilities across various software platforms were highlighted.

CVE-2026-64849critical

U.S. CISA adds an MLflow flaw to its Known Exploited Vulnerabilities catalog

CISA has added a critical server-side request forgery (SSRF) vulnerability in MLflow to its Known Exploited Vulnerabilities catalog. Tracked as CVE-2026-64849 with a CVSS score of 9.3, the flaw allows unauthenticated attackers to make requests from exposed MLflow servers to internal services, potentially stealing cloud credentials. Exploitation has been observed in the wild, with active scanning for vulnerable instances occurring shortly after the CVE was assigned.