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Not in CISA KEV
HIGH severity

CVE-2021-4118 — pytorch-lightning

HIGHFix: pytorchlightning/pytorch-lightning@62f1e82

CVE-2021-4118 is a high-severity (CVSS 7.8) Deserialization of Untrusted Data vulnerability in pytorch-lightning. 1 public exploit or proof-of-concept reference is indexed, so weaponization risk is real. A fix is available for pytorch-lightning — see the affected versions and patch details below.

pytorch-lightning is vulnerable to Deserialization of Untrusted Data

Also known asGHSA-2vj5-px25-gjrpPYSEC-2021-874PYSEC-2026-3968
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
1 known
Exploitation data as of Nov 12, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
1.0%probability of exploitation in next 30 days
Lower Risk+0.01%
Lower risk than most CVEs64th percentile — riskier than 64% of all scored CVEsHighest risk
0.00%0.51%1.01%1.52%0.3%1.0%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
🐍pytorch-lightning

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

pytorch-lightning is vulnerable to Deserialization of Untrusted Data

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIpytorch-lightningall versions1.6.0pip install --upgrade 'pytorch-lightning==1.6.0'

Affected Products

1 product · 1 configurations
Application
pytorch lightninglightningai
< 1.6.0
range
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 pytorch-lightning, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update pytorch-lightning to 1.6.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2021-4118 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

pytorch-lightning is vulnerable to Deserialization of Untrusted Data
O3 Security · Impact-Aware SCA

Is CVE-2021-4118 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2021-4118: pytorch Deserialization — Fixed in 1.6.0