Skip to content

← Actionable
Critical, CVSS 9.8amended

scikit-learn Deserialization of Untrusted Data

CVE-2020-13092GHSA-jjw5-xxj6-pcv5

What to do

Vendor response not established. Follow the primary source's mitigation guidance and check back for a fix.

This page has no inventory attached, so it cannot say whether you are affected. A vendor fix is not proof that your deployment is fixed.

Affected packages

  • PyPI scikit-learn

    Affected
    <= 0.23.0
    Fixed in
    no fixed version recorded

Sources

Severity and exploitation
Exploitation
No confirmed exploitation recorded. Patch Next marks exploitation only from CISA KEV.
CVSS
9.8 · CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS
  • CVE-2020-13092: 3.41% estimated exploitation activity in the next 30 days; percentile 88.88 (FIRST EPSS, 2026-11-03). This is a model estimate, not proof of exploitation or customer exposure.
Source description

As published by the source; long descriptions are shortened.

scikit-learn (aka sklearn) through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load() function, if reduce makes an os.system call. NOTE: third parties dispute this issue because the joblib.load() function is documented as unsafe and it is the user's responsibility to use the function in a secure manner.

Dates and revisions
Published by the source
Last modified by the source
Source last checked
  1. Revision 2 · amended ·

    Amended from ghsa record GHSA-jjw5-xxj6-pcv5

  2. Revision 1 · created ·

    Published from osv record GHSA-jjw5-xxj6-pcv5

Agent brief

Preview the exact text before you copy it. Commands are read-only suggestions; review them before running anything.

# Patch Next advisory brief: CVE-2020-13092

Advisory: scikit-learn Deserialization of Untrusted Data
IDs: CVE-2020-13092, GHSA-jjw5-xxj6-pcv5
Record: https://patchnext.com/advisories/cve-2020-13092 (revision 2, source checked 26 Oct 2026, 13:22 UTC)
Inventory: none attached. This brief comes from a public page and does not say whether any deployment is affected.
Severity: Critical (CVSS 9.8)
Exploitation: no confirmed exploitation recorded. Patch Next confirms exploitation only from CISA KEV.
Vendor response: Vendor response not established. A vendor fix does not mean a deployment is fixed.

## Affected components
- PyPI scikit-learn: affected <= 0.23.0

## Suggested inspection (read-only)
- `python -m pip show scikit-learn`: prints the installed version. Run with the environment that serves production active.

## Supported action
No complete vendor fix is recorded. Follow the primary source's mitigation guidance and check this record again before closing anything.

## Required regression checks
- Run the test suite and a production build.
- Exercise the features that depend on scikit-learn.
- Repeat the inspection and confirm that only fixed versions remain installed.

## Rollback considerations
- Keep the previous lockfile and deployment artifact. Rolling back reinstates the vulnerable version, so apply any documented mitigation while you fix forward.

## Unresolved questions
- Which deployments run an affected version?
- Exploitation status can change. Check again before lowering the priority.
- Mark the work resolved only after the fixed version is verified in production.

## Sources
- Verified: https://osv.dev/vulnerability/GHSA-jjw5-xxj6-pcv5 (OSV record GHSA-jjw5-xxj6-pcv5 lists affected ranges: PyPI scikit-learn >=0 <=0.23.0)
- Verified: https://github.com/advisories/GHSA-jjw5-xxj6-pcv5 (GitHub-reviewed advisory GHSA-jjw5-xxj6-pcv5 lists affected ranges: PyPI scikit-learn >=0 <=0.23.0)

Commands are suggestions: review each one before running it.

Loading voting…