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🐍 PyPI

GHSA-6h2x-4gjf-jc5w

autogluon.multimodal vulnerable to unsafe YAML deserialization

Published
Sep 21, 2022
Updated
Dec 2, 2024
Affected
2 pkgs
Patched
2 / 2
Exploits
None indexed

Blast Radius

2 pkgs affected
🐍autogluon-multimodal🐍autogluon-multimodal

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

A potential unsafe deserialization issue exists within the autogluon.multimodal module, where YAML files are loaded via yaml.load() instead of yaml.safe_load(). The deserialization of untrusted data may allow an unprivileged third party to cause remote code execution, denial of service, and impact to both confidentiality and integrity.

Impacted versions: >=0.4.0;<0.4.3, >=0.5.0;<0.5.2.

Patches

The patches are included in autogluon.multimodal==0.4.3, autogluon.multimodal==0.5.2 and Deep Learning Containers 0.4.3 and 0.5.2.

Workarounds

Do not load data which originated from an untrusted source, or that could have been tampered with. Only load data you trust.

References

Affected Packages

2 total 2 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIautogluon-multimodal0.4.0&&< 0.4.30.4.3
🐍PyPIautogluon-multimodal0.5.0&&< 0.5.20.5.2

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for autogluon-multimodal. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update autogluon-multimodal to 0.4.3 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-6h2x-4gjf-jc5w is resolved across your whole dependency graph.

  3. Workarounds

    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 pinpoints whether GHSA-6h2x-4gjf-jc5w is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-6h2x-4gjf-jc5w. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Impact A potential unsafe deserialization issue exists within the `autogluon.multimodal` module, where YAML files are loaded via `yaml.load()` instead of `yaml.safe_load()`. The deserialization of untrusted data may allow an unprivileged third party to cause remote code execution, denial of service, and impact to both confidentiality and integrity. Impacted versions: `>=0.4.0;<0.4.3`, `>=0.5.0;<0.5.2`. ### Patches The patches are included in `autogluon.multimodal==0.4.3`, `autogluon.multimodal==0.5.2` and Deep Learning Containers `0.4.3` and `0.5.2`. ### Workarounds Do not load data wh
O3 Security · Impact-Aware SCA

Is GHSA-6h2x-4gjf-jc5w in your dependencies?

O3 detects GHSA-6h2x-4gjf-jc5w across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.