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Not in CISA KEV
MEDIUM severity

CVE-2021-23338 — pyqlib

MEDIUMFix: 418sec/huntr#1329

CVE-2021-23338 is a medium-severity (CVSS 6.6) Deserialization of Untrusted Data vulnerability in pyqlib. 1 public exploit or proof-of-concept reference is indexed, so weaponization risk is real. A fix is available for pyqlib — see the affected versions and patch details below.

qlib Deserialization of Untrusted Data vulnerability

Also known asPYSEC-2021-86SNYK-PYTHON-QLIB-1054635
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
1 known
Exploitation data as of Nov 9, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
3.7%probability of exploitation in next 30 days
Lower Risk+0.07%
Lower risk than most CVEs90th percentile — riskier than 90% of all scored CVEsHighest risk
2.35%2.95%3.55%4.15%2.9%3.7%May 26Sep 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

1 pkg affected
🐍pyqlib

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

This affects all versions of package qlib. The workflow function in cli part of qlib was using an unsafe YAML load function.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIpyqliball versions0.7.0pip install --upgrade 'pyqlib==0.7.0'

Affected Products

1 product · 1 configurations
Application
qlibmicrosoft
all
Exploits & PoCs
1

Research 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 dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for pyqlib, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update pyqlib to 0.7.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2021-23338 is resolved across your whole dependency graph.

  3. Workarounds

    Do not deserialise data from untrusted sources: where the format allows it, restrict deserialisation to an explicit allowlist of expected types, and prefer a data-only format (JSON, Protobuf) over one that can reconstruct arbitrary objects until you can upgrade.

Frequently Asked Questions

This affects all versions of package qlib. The workflow function in cli part of qlib was using an unsafe YAML load function.
O3 Security · Impact-Aware SCA

Is CVE-2021-23338 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2021-23338: pyqlib — Fixed in 0.7.0