CVE-2026-1778: AWS SageMaker Python SDK · Improper Certificate Validation
Affects AWS SageMaker Python SDKSource CVE Database V5
Not known to be exploited · CVSS 5.9 Medium : upgrade to 3.1.1 or 2.256.0 when convenient.
Data as of 26 Oct 2026, 07:57 UTC
- EPSS
- 0.2% chance of exploitation in 30 days – higher than 18% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 3.1.1, 2.256.0
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:NExploitation evidence
Disclosed: evidence found.
CVE published 2 Feb 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.
What to do
Upgrade sagemaker to 3.1.1 or 2.256.0.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
PyPIsagemakerpkg:pypi/sagemakerOther threats | Affected
| Fixed in
|
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
To mitigate CVE-2026-1778, European organizations should immediately upgrade the AWS SageMaker Python SDK to version 3.1.1, 2.256.0, or later, where the TLS certificate validation issue is resolved. Review and enforce strict TLS certificate validation policies in all custom SDK configurations and scripts, ensuring that no insecure flags or options disable verification. Conduct network monitoring to detect unusual HTTPS traffic patterns or potential MitM attempts during model import operations. Implement network segmentation and use private endpoints or VPNs for AWS SageMaker access to reduce exposure to network-based attacks. Regularly audit and update dependencies and SDK versions in AI/ML pipelines to prevent similar vulnerabilities. Educate development and security teams about the risks of disabling TLS verification and the importance of secure model deployment practices. Finally, maintain an incident response plan that includes scenarios involving AI model integrity compromise.
Description
Amazon SageMaker Python SDK before v3.1.1 or v2.256.0 disables TLS certificate verification for HTTPS connections made by the service when a Triton Python model is imported, incorrectly allowing for requests with invalid and self-signed certificates to succeed.
References
- aws.amazon.com/security/security-bulletins/2026-004-AWS/ (opens in a new tab)
- github.com/aws/sagemaker-python-sdk/security/advisories/GHSA-62rc-f4v9-h543 (opens in a new tab)
- github.com/aws/sagemaker-python-sdk/releases/tag/v3.1.1 (opens in a new tab)
- github.com/aws/sagemaker-python-sdk/releases/tag/v2.256.0 (opens in a new tab)