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GHSA-62rc-f4v9-h543 sagemaker

MEDIUMFix: aws/sagemaker-python-sdk@5e7a3ef

GHSA-62rc-f4v9-h543 is a medium-severity (CVSS 5.9) CWE-295 vulnerability in sagemaker. A fix is available for sagemaker — see the affected versions and patch details below.

SageMaker Python SDK has Insecure TLS Configuration

Also known asCVE-2026-1778PYSEC-2026-1886
Published
Feb 2, 2026
Updated
Jul 7, 2026
Affected
2 pkgs
Patched
2 / 2
Exploits
None indexed
Exploitation data as of Sep 18, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • 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-62rc-f4v9-h543.

EPSS Exploitation Probability

via FIRST.org ↗
0.3%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs17th percentile — riskier than 17% 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-62rc-f4v9-h543 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 377,166 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

2 pkgs affected
🐍sagemaker🐍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

Summary

SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where SSL certificate verification was globally disabled in the Triton Python backend has been found.

Impact

Arbitrary Code Execution: Disabling SSL verification allows third parties to intercept HTTPS traffic and replace models or dependencies with inappropriate versions. This could lead to remote code execution in the Triton container.

Impacted versions

  • SageMaker Python SDK v3 < v3.1.1
  • SageMaker Python SDK v2 < v2.256.0

Patches

This issue has been addressed in SageMaker Python SDK version v3.1.1 and v2.256.0. It is recommended to upgrade to the latest version immediately and ensure any forked or derivative code is patched to incorporate the new fixes.

Workarounds

Customers using self-signed certificates for internal model downloads should add their private Certificate Authority (CA) certificate to the container image rather than relying on the SDK’s previous insecure configuration. This opt-in approach maintains security while accommodating internal trusted domains.

References

If there are any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to [email protected]. Please do not create a public GitHub issue.

Affected Packages

2 total 2 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIsagemaker3.0&&< 3.1.13.1.1pip install --upgrade 'sagemaker==3.1.1'
🐍PyPIsagemakerall versions2.256.0pip install --upgrade 'sagemaker==2.256.0'

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 3.1.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-62rc-f4v9-h543 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-62rc-f4v9-h543 can be triaged on real exposure rather than presence alone.

Tailored to GHSA-62rc-f4v9-h543. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Summary SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where SSL certificate verification was globally disabled in the Triton Python backend has been found. ### Impact Arbitrary Code Execution: Disabling SSL verification allows third parties to intercept HTTPS traffic and replace models or dependencies with inappropriate versions. This could lead to remote code execution in the Triton container. ### Impacted versions - SageMaker Python SDK v3 < v3.1.1 - SageMaker Python SDK v2 < v2.256.0 ### Patches This i
O3 Security · Impact-Aware SCA

Is GHSA-62rc-f4v9-h543 in your dependencies?

O3 Security finds GHSA-62rc-f4v9-h543 across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

GHSA-62rc-f4v9-h543: RCE (Medium 5.9) | O3 Security