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Not in CISA KEV
HIGH severity

GHSA-wjvx-jhpj-r54r sagemaker

HIGHFix: aws/sagemaker-python-sdk#4557

GHSA-wjvx-jhpj-r54r is a high-severity (CVSS 7.8) Deserialization of Untrusted Data vulnerability in sagemaker. A fix is available for sagemaker — see the affected versions and patch details below.

sagemaker-python-sdk vulnerable to Deserialization of Untrusted Data

Also known asCVE-2024-34072PYSEC-2026-1889
Published
May 3, 2024
Updated
Sep 10, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 21, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • A successful exploit gives an attacker total control of the affected component, not partial access.
  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for GHSA-wjvx-jhpj-r54r.

EPSS Exploitation Probability

via FIRST.org ↗
0.4%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs35th percentile — riskier than 35% of all scored CVEsHighest risk

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

How urgent is this, really

GHSA-wjvx-jhpj-r54r plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 377,636 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

1 pkg affected
🐍sagemaker

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

sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity.

Impacted versions: <2.218.0.

Credit

We would like to thank HiddenLayer for collaborating on this issue through the coordinated vulnerability disclosure process.

Workarounds

Do not pass pickled numpy object arrays which originated from an untrusted source, or that could have been tampered with. Only pass pickled numpy object arrays from sources you trust.

References

If you have any questions or comments about this advisory we ask that you contact AWS/Amazon Security via our vulnerability reporting page [1] or directly via email to [email protected]. Please do not create a public GitHub issue. [1] Vulnerability reporting page: https://aws.amazon.com/security/vulnerability-reporting

Fixed by: https://github.com/aws/sagemaker-python-sdk/pull/4557

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIsagemakerall versions2.218.0pip install --upgrade 'sagemaker==2.218.0'

Detection & mitigation playbook

Open-source dependency
  1. Detect

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

  2. Fix

    Update sagemaker to 2.218.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-wjvx-jhpj-r54r 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 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-wjvx-jhpj-r54r can be triaged on real exposure rather than presence alone.

Tailored to GHSA-wjvx-jhpj-r54r. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Impact sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity. Impacted versions: <2.218.0. ### Credit We would like to thank HiddenLayer for collaborating on this issue through the coordinated vulnerability disclosure process. ### Workarounds Do not pass pickled numpy object arrays which originated from an untrusted sour
O3 Security · Impact-Aware SCA

Is GHSA-wjvx-jhpj-r54r in your dependencies?

O3 Security finds GHSA-wjvx-jhpj-r54r across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

GHSA-wjvx-jhpj-r54r: sagemaker (High 7.8) | O3 Security