CVE-2023-6018 — mlflow
CVE-2023-6018 is a OS Command Injection vulnerability in mlflow. 1 public exploit or proof-of-concept reference is indexed, so weaponization risk is real. The records list no fixed version yet; check the vendor advisory below and apply the mitigations in the meantime.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
Real-World Exposure
mlflowReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects Bitnami packages — download data is not available via public APIs for these ecosystems.
Description
An attacker can overwrite any file on the server hosting MLflow without any authentication.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 📦Bitnami | mlflow | all versions | No fix |
Affected Products
mlflowlfprojectsResearch use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for mlflow, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Remediation status
The records we use list no patched version of mlflow for CVE-2023-6018. Check the maintainer's advisory, and where your build allows, override or pin the dependency away from the vulnerable range.
Mitigate without a patch
Stop passing untrusted input into the interpreter or shell: call the affected binary with an argument array rather than a composed command string, reject anything outside a strict allowlist of expected values, and run the component under an account that cannot reach beyond the work it legitimately does.
How to detect CVE-2023-6018
A community-maintained Nuclei template exists for this CVE. You can scan for it directly:
nuclei -id cve-2023-6018 -u https://target- Template
- Mlflow - Arbitrary File Write
- Severity
- critical
- Impact
- Unauthenticated attackers can overwrite any file on the server hosting MLflow, potentially compromising system integrity and enabling remote code execution.
- Remediation
- Secure the MLflow instance by implementing authentication and access controls, and update to the latest patched version.
Template by ProjectDiscovery nuclei-templates (byt3bl33d3r), MIT licensed. View the full template. Scan only systems you are authorised to test.
Frequently Asked Questions
Is CVE-2023-6018 in your dependencies?
Find it across Bitnami, including transitive dependencies.