mlflow Known Vulnerabilities & Fixes
mlflow has 13 known security vulnerabilities in PyPI (Python). Upgrade to version 3.15.0 or later to resolve all known issues. Data sourced from OSV, enriched with EPSS exploit probability and CISA KEV.
Low Immediate Risk
No actively exploited vulnerabilities detected. Monitor and update in your next maintenance window.
Recommended safe version: 3.15.0
Upgrading to 3.15.0 or later resolves all 13 known vulnerabilities in mlflow. Run: pip install "mlflow>=3.15.0"
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Check if you're affected and upgrade to 3.15.0 to stay secure.
Security Summary
- 14 affected version ranges have been identified across these 13 advisories.
- 92% of known issues have a published fixed version.
- Remediation: pip install --upgrade mlflow
Vulnerabilities
13 unique vulnerabilities — sorted by exploitation risk (KEV → EPSS → CVSS). Click a CVE/GHSA ID for full details. First disclosed Feb 21, 2026, most recently Aug 17, 2026 (178 days apart).
| CVE / GHSA | Severity | Affected | Fixed In |
|---|---|---|---|
| CVE-2026-64849 MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding) | CRITICAL | 0.0.1, 0.1.0, 0.2.0, 0.2.1 (+178 more) | 3.15.0, 3.15.0 |
| CVE-2025-15379 MLflow Command Injection vulnerability | CRITICAL | 0.0.1, 0.1.0, 0.2.0, 0.2.1 (+163 more) | 3.8.1 |
| CVE-2023-6015 MLflow allowed arbitrary files to be PUT onto the server | CRITICAL | 0.0.1, 0.1.0, 0.2.0, 0.2.1 (+78 more) | 2.8.1 |
| CVE-2023-6018 Remote Code Execution due to Full Controled File Write in mlflow | CRITICAL | 0.0.1, 0.1.0, 0.2.0, 0.2.1 (+81 more) | 2.9.2 |
| CVE-2026-2635 MLflow Use of Default Password Authentication Bypass Vulnerability | CRITICAL | 0.0.1, 0.1.0, 0.2.0, 0.2.1 (+161 more) | 3.8.0rc0 |
| CVE-2023-6974 MLflow Server-Side Request Forgery (SSRF) | CRITICAL | 0.0.1, 0.1.0, 0.2.0, 0.2.1 (+81 more) | 2.9.2 |
| CVE-2023-6975 MLFlow Path Traversal Vulnerability | CRITICAL | 0.0.1, 0.1.0, 0.2.0, 0.2.1 (+81 more) | 2.9.2 |
| CVE-2026-2611 MLflow: Improper Origin Validation in MLflow Assistant /ajax-api Endpoints Enables Browser-Mediated Local Command Execution | CRITICAL | 3.10.0rc0, 3.9.0 | 3.10.0 |
| CVE-2026-0596 Mlflow: Command Injection when serving models with enable_mlserver=True | CRITICAL | 0.0.1, 0.1.0, 0.2.0, 0.2.1 (+165 more) | 3.9.0 |
| CVE-2025-15036 MLFlow path traversal vulnerability | CRITICAL | 0.0.1, 0.1.0, 0.2.0, 0.2.1 (+164 more) | 3.9.0rc0 |
| CVE-2026-4035 MLflow: Environment variable injection in AI Gateway secrets enables server-side credential exfiltration | CRITICAL | 0.0.1, 0.1.0, 0.2.0, 0.2.1 (+171 more) | 3.11.0 |
| CVE-2026-0545 mlflow: FastAPI job endpoints under `/ajax-api/3.0/jobs/*` are not protected by authentication or authorization | CRITICAL | 0.0.1, 0.1.0, 0.2.0, 0.2.1 (+169 more) | No fix available |
| CVE-2023-6014 MLflow authentication requirement bypass can allow a user to arbitrarily create an account | CRITICAL | 0.0.1, 0.1.0, 0.2.0, 0.2.1 (+77 more) | 2.8.0 |
About This Data
Vulnerability data for mlflow is sourced from the Open Source Vulnerability (OSV) database, aggregating reports from GitHub Advisory Database, NIST NVD, and ecosystem-specific sources.
CVSS (Common Vulnerability Scoring System) scores reflect exploitability and impact. EPSS (Exploit Prediction Scoring System) scores indicate the probability of exploitation within the next 30 days. Vulnerabilities marked with are listed in the CISA Known Exploited Vulnerabilities (KEV) catalog.
Related PyPI (Python) Packages
Other packages in this ecosystem, ranked by shared vulnerabilities where available.
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