Cyber Resilience

CVE-2024-34073

High

Published: 03 May 2024

Published
03 May 2024
Modified
15 April 2026
KEV Added
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Patch
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CVSS Score v3.1 7.8 CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS Score 0.0089 76.0th percentile
Risk Priority 16 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-34073 is a high-severity OS Command Injection (CWE-78) vulnerability. Its CVSS base score is 7.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Unix Shell (T1059.004); ranked in the top 24.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as Other Platforms; in the Supply Chain and Deployment risk domain; MITRE ATLAS techniques in scope: AI Supply Chain Compromise (AML.T0010), Exfiltration via AI Inference API (AML.T0024), External Harms (AML.T0048).

EU & UK References

Vulnerability details

sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. In affected versions the capture_dependencies function in `sagemaker.serve.save_retrive.version_1_0_0.save.utils` module allows for potentially unsafe Operating System (OS) Command Injection if inappropriate command is passed as the “requirements_path”…

more

parameter. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity. This issue has been addressed in version 2.214.3. Users are advised to upgrade. Users unable to upgrade should not override the “requirements_path” parameter of capture_dependencies function in `sagemaker.serve.save_retrive.version_1_0_0.save.utils`, and instead use the default value.

CWE(s)
CWE-78

AI Security AnalysisAI

AI Category
Other Platforms
Risk Domain
Supply Chain and Deployment
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
sagemaker-python-sdk is the Python SDK for Amazon SageMaker, a cloud platform for training and deploying machine learning models, fitting under 'Other Platforms' as it is an MLOps/platform SDK rather than a core ML library or framework.

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1059.004 Unix Shell Execution
Adversaries may abuse Unix shell commands and scripts for execution.
attack.mitre.org →
Why these techniques?

The vulnerability allows OS command injection via the requirements_path parameter in the SageMaker Python SDK, enabling adversaries to abuse the Unix Shell subtechnique (T1059.004) for remote code execution.

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0010: AI Supply Chain CompromiseAML.T0024: Exfiltration via AI Inference APIAML.T0048: External Harms

Affected Assets

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

SC-27 Platform-independent Applications
addresses: CWE-78

Platform-independent apps typically execute inside a managed runtime or sandbox that restricts direct OS command execution, reducing the ability to exploit OS command injection.

SI-10 Information Input Validation
addresses: CWE-78

Validates inputs to block special elements that would alter OS command execution.

References