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scio is vunerable to Remote Command Execution through PyTorchGHSA-m9mp-6x32-5rhg

GHSA-m9mp-6x32-5rhg is a security vulnerability in scio-pypi. The records list no fixed version yet; check the vendor advisory below and apply the mitigations in the meantime.

Published
Updated
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

    The records we use list no patched version of scio-pypi for GHSA-m9mp-6x32-5rhg. Check the maintainer's advisory, and where your build allows, override or pin the dependency away from the vulnerable range.

  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.

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

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scio is vunerable to Remote Command Execution…