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CVE-2023-4033
OS Command Injection in GitHub repository mlflow/mlflow prior to 2.6.0.
AI summary snake-internal / snake-template-v1
A weakness called CVE-2023-4033 was discovered in OS Command Injection in GitHub.
Severity is Info. Low severity or not yet rated.
What you should do: update the affected software to the latest version. If unsure, ask your IT team or search the vendor's site for "OS Command Injection in GitHub CVE-2023-4033".
CVE-2023-4033 (OS Command Injection in GitHub). Severity: Info.
Response plan:
1. Check the vendor advisory for affected versions and the patched release.
2. If a vulnerable version is running in production, schedule maintenance (urgency from KEV/CVSS).
3. If no patch yet, mitigate via WAF rule, disabling the affected feature, etc.
4. Monitor logs / SIEM for known IOC and PoC signatures of this CVE.
PoCs and fix commits: see the 'References' section, MITRE, and NVD.
❓ What is the problem
A weakness (CVE-2023-4033) in OS Command Injection in GitHub. A serious software flaw has been identified.
📍 Affected scope
Target versions of OS Command Injection in GitHub (see vendor advisory). If running in production, identify exposure immediately.
🔥 Severity
Severity: Info. Low severity or not yet rated.
🔧 How to fix
Update to the patched release as listed in the vendor advisory.
🛡️ Workaround
If a patch is not yet available, consider disabling the affected feature, applying WAF rules, blocking via network ACLs, or isolating the vulnerable version.
🔍 Detection
Check version information, scan dependencies via SBOM, and monitor SIEM for IOC and PoC signatures related to this CVE.
Affected packages
PyPI
mlflow
[{"repo":"https:\/\/github.com\/mlflow\/mlflow","type":"GIT","events":[{"introduced":"0"},{"fixed":"6dde93758d42455cb90ef324407919ed67668b9b"}]},{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.6.0"}]}]