CVE security advisories and vulnerability history for mlflow by pip.
Last updated
pip mlflow has 72 published CVE records since 2022, of which 0 are in CISA's Known Exploited Vulnerabilities catalog and 42 have a known public exploit. The average CVSS base score across scored CVEs is 8.1.
This page aggregates every publicly disclosed vulnerability (CVE) affecting pip mlflow, with a severity breakdown, the affected and patched versions, the most common weakness types, and the full CVE list.
How the CVSS severity of pip mlflow's CVEs breaks down, plus how many are exploited in the wild or have public exploit code.
1 additional CVE has no CVSS severity score.
In CISA’s Known Exploited Vulnerabilities catalog
0
None of pip mlflow's CVEs are currently listed in CISA's KEV catalog.
Public exploits
42
42 of pip mlflow's CVEs have a known public exploit available.
Browse every pip mlflow version named in a CVE, then pick one to see only the CVEs that affect it.
72 CVEs
Showing 30 of 72
The CWE weakness categories most often found in pip mlflow CVEs. Follow any weakness for its full explanation.
How many pip mlflow CVEs were published each year.
Browse vulnerabilities for other products by pip.
Common questions about pip mlflow vulnerabilities.
pip mlflow has 72 published CVE records since 2022.
None of pip mlflow's CVEs are currently listed in CISA's Known Exploited Vulnerabilities catalog.
Yes — 42 of pip mlflow's CVEs have a known public exploit.
34 distinct pip mlflow versions are named across its CVEs. Use the version filter above to see the CVEs affecting a specific version.
pip mlflow's CVEs most often map to these CWE weakness types: CWE-22 (Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')), CWE-29 (Path Traversal: '\..\filename'), CWE-502 (Deserialization of Untrusted Data), CWE-79 (Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')).
pip mlflow has 20 critical and 40 high-severity CVEs.
The average CVSS base score across pip mlflow's scored CVEs is 8.1.
Vulnerability data is sourced from the CVE Program; severity, KEV, and exploit signals are aggregated by RadicalNotion.AI.
Monitor new pip mlflow vulnerabilities as they are disclosed, with AI-written analysis and remediation guidance.
