SageMaker Python SDK has Insecure TLS ConfigurationGHSA-62rc-f4v9-h543
MEDIUMFix: aws/sagemaker-python-sdk@5e7a3efGHSA-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.
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
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
How urgent is this, really
Where this sits among everything scored
Real-World Exposure
sagemaker🐍sagemakerReal-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
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | sagemaker | ≥ 3.0&&< 3.1.1 | 3.1.1pip install --upgrade 'sagemaker==3.1.1' |
| 🐍PyPI | sagemaker | all versions | 2.256.0pip install --upgrade 'sagemaker==2.256.0' |
Detection & mitigation playbook
Open-source dependencyDetect
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.
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.
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.
Frequently Asked Questions
Is GHSA-62rc-f4v9-h543 in your dependencies?
Find it across PyPI, including transitive dependencies.