Vulnerability in Amazon sagemaker (CVE-2026-1777)
Summary
Vulnerability in Amazon sagemaker (CVE-2026-1777). Successful exploitation can lead to full system takeover. Mitigation: upgrade to 2.256.0 or later.
Original description
The description as published by the source.
Summary
SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where the HMAC secret key is stored in environment variables and disclosed via the DescribeTrainingJob API has been identified.
Impact
- Function and Payload Tampering: Attackers with DescribeTrainingJob permissions may extract HMAC secret keys and forge serialized function payloads stored in S3. These tampered payloads would be processed and executed without triggering integrity validation errors, enabling unintended code substitution.
- Arbitrary Code Execution in the Training Environment: An third party with both DescribeTrainingJob permissions and write access to the job's S3 output location can extract the HMAC key, craft inappropriate Python objects, and achieve remote code execution in the client's Python process when the victim retrieves remote function results.
- Data and Credentials Handling: Arbitrary remote code execution may interact with sensitive data, model artifacts, environment variables, and potentially AWS metadata.
- Cross-Tenant or Shared Environment Risks: In multi-tenant, shared S3 bucket, a disclosed HMAC key could act as a pivot point to perform inappropriate actions against other users' remote function workloads. This could leverage the IAM permissions, shared S3 buckets, or VPC resources to compromise adjacent services or data.
Impacted versions
- SageMaker Python SDK v3 < v3.2.0
- SageMaker Python…
Source: AWS Security Bulletins NVD GitHub Advisory
Auto-generated summary
Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.
A vulnerability tracked as CVE-2026-1777 has been found in Amazon sagemaker.
Successful exploitation can lead to full system takeover.
What to do: upgrade Amazon sagemaker to 2.256.0 or later.
If unsure, ask your IT team or search "Amazon sagemaker CVE-2026-1777" on the vendor's site.
CVE-2026-1777 (Amazon sagemaker) — CWE-201
Attack vector: remote (network-reachable) / no user interaction
Patched: 2.256.0 — apply immediately
Workaround: 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.
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.
A vulnerability (CWE-201) exists in Amazon sagemaker.
Check the vendor advisory for the affected versions of Amazon sagemaker.
Severity: ?. Successful exploitation can lead to full system takeover.
Update to 2.256.0.
Workaround: 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.
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'sagemaker' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
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1Identify exposure identify
grep -r 'sagemaker' . | grep -v node_modulesリポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で
sagemakerを grep し、稼働しているサービス・バージョンを把握する。 -
2Apply temporary workaround mitigate
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.パッチが適用されるまでの応急処置として、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. を実施。回避策の副作用 (機能低下) を確認した上で。
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3Apply patch patch
Upgrade Amazon sagemaker to 2.256.0ステージング環境で 2.256.0 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。
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4Post-deployment verification verify
Confirm patched version is live in productionパッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。
Affected packages
References
- advisory nvd.nist.gov
- advisory github.com
- AWS aws.amazon.com
- package github.com
- package pypi.org
- web github.com
- web github.com
- web github.com
- web aws.amazon.com
- web github.com
- web github.com