GHSA-M9MP-6X32-5RHG
Vulnerability from github – Published: 2025-10-09 14:22 – Updated: 2025-10-09 14:22
VLAI
Summary
scio is vunerable to Remote Command Execution through PyTorch
Details
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.
Severity
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "scio-pypi"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "1.0.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": true,
"github_reviewed_at": "2025-10-09T14:22:00Z",
"nvd_published_at": null,
"severity": "CRITICAL"
},
"details": "### Impact\nPyTorch 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 \u003c= 2.5.1`.\n\nIn `scio \u003c= 1.0.0`, the lower bound for `torch` is `2.3`.\n\n### Patches\nThe lower bound was changed to `torch \u003e= 2.6`, starting from `scio \u003e= 1.0.1` (currently in dev state).\n\n### Workarounds\nYou can manually check that you are using `torch \u003e= 2.6`.",
"id": "GHSA-m9mp-6x32-5rhg",
"modified": "2025-10-09T14:22:00Z",
"published": "2025-10-09T14:22:00Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/ThalesGroup/scio/security/advisories/GHSA-m9mp-6x32-5rhg"
},
{
"type": "WEB",
"url": "https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6"
},
{
"type": "PACKAGE",
"url": "https://github.com/ThalesGroup/scio"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "scio is vunerable to Remote Command Execution through PyTorch"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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