GHSA-r5qj-cvf9-p85h is a critical-severity (CVSS 9.8) Code Injection vulnerability in pytorch-lightning. 1 public exploit reference exists, so weaponization risk is real. A fix is available for pytorch-lightning — see the affected versions and patch details below.
Code Injection in PyTorch Lightning
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
How urgent is this, really
GHSA-r5qj-cvf9-p85h by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.
Where this sits among everything scored
Of 379,842 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.
Real-World Exposure
pytorch-lightningReal-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 version 1.5.10 and prior is vulnerable to code injection. An attacker could execute commands on the target OS running the operating system by setting the PL_TRAINER_GPUS when using the Trainer module. A patch is included in the 1.6.0 release.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | pytorch-lightning | all versions | 1.6.0pip install --upgrade 'pytorch-lightning==1.6.0' |
Affected Products
pytorch lightninglightningaiResearch 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 dependencyDetect
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.
Fix
Update pytorch-lightning to 1.6.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-r5qj-cvf9-p85h is resolved across your whole dependency graph.
Workarounds
Stop passing untrusted input into the interpreter or shell: call the affected binary with an argument array rather than a composed command string, reject anything outside a strict allowlist of expected values, and run the component under an account that cannot reach beyond the work it legitimately does.
Frequently Asked Questions
Is GHSA-r5qj-cvf9-p85h in your dependencies?
Find it across PyPI, including transitive dependencies.