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GHSA-m9mp-6x32-5rhg scio-pypi

GHSA-m9mp-6x32-5rhg is a security vulnerability in scio-pypi. No vendor fix is recorded yet; mitigation options are listed below.

scio is vunerable to Remote Command Execution through PyTorch

Published
Oct 9, 2025
Updated
Oct 9, 2025
Affected
1 pkg
Patched
None yet
Exploits
None indexed
Exploitation data as of Oct 9, 2025 · OSV.dev, FIRST.org (EPSS)

Real-World Exposure

1 pkg affected
🐍scio-pypi

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

Impact

PyTorch reported a critical vulnerability when using torch.load, even with option weights_only=True, for torch <= 2.5.1.

In scio <= 1.0.0, the lower bound for torch is 2.3.

Patches

The lower bound was changed to torch >= 2.6, starting from scio >= 1.0.1 (currently in dev state).

Workarounds

You can manually check that you are using torch >= 2.6.

Affected Packages

1 total
EcosystemPackageVulnerable rangeFix
🐍PyPIscio-pypiall versionsNo fix

Detection & mitigation playbook

Open-source dependency
  1. Detect

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

  2. Remediation status

    No patched version of scio-pypi has shipped for GHSA-m9mp-6x32-5rhg yet. Where your build allows, override or pin the dependency away from the vulnerable range, and apply any maintainer-recommended mitigation.

  3. Mitigate without a patch

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-m9mp-6x32-5rhg can be triaged on real exposure rather than presence alone.

Tailored to GHSA-m9mp-6x32-5rhg. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Impact PyTorch reported a [**critical** vulnerability](https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6) when using `torch.load`, even with option `weights_only=True`, for `torch <= 2.5.1`. In `scio <= 1.0.0`, the lower bound for `torch` is `2.3`. ### Patches The lower bound was changed to `torch >= 2.6`, starting from `scio >= 1.0.1` (currently in dev state). ### Workarounds You can manually check that you are using `torch >= 2.6`.
O3 Security · Impact-Aware SCA

Is GHSA-m9mp-6x32-5rhg in your dependencies?

O3 Security finds GHSA-m9mp-6x32-5rhg across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

GHSA-m9mp-6x32-5rhg: scio-pypi | O3 Security