CVE-2026-16346

Received Received - Intake

Remote Code Execution in IBM DataStage on Cloud Pak for Data

Publication date: 2026-09-22

Last updated on: 2026-09-22

Assigner: IBM Corporation

Description

IBM DataStage on Cloud Pak for Data 5.4.0.0 could allow a remote authenticated attacker to execute arbitrary commands due to improper neutralization of special elements used in an OS command.

CVSS Scores

EPSS Scores

Probability:
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Meta Information

Published

2026-09-22

Last Modified

2026-09-22

Generated

2026-09-23

AI Q&A

2026-09-23

EPSS Evaluated

N/A

NVD

CVE-2026-16346

Affected Vendors & Products

Vendor	Product	Version / Range
ibm	data_stage	5.4.0.0

Helpful Resources

Exploitability

CWE

KEV

CWE ID	Description
CWE-285	The product does not perform or incorrectly performs an authorization check when an actor attempts to access a resource or perform an action.

Attack-Flow Graph

Executive Summary

This vulnerability allows a remote authenticated attacker to execute arbitrary commands on IBM DataStage on Cloud Pak for Data 5.4.0.0. It occurs due to improper neutralization of special elements used in an OS command, meaning the system fails to properly filter or sanitize input that could be used to inject malicious commands.

Impact Analysis

An attacker could exploit this to run unauthorized commands on the affected system, potentially leading to data breaches, unauthorized access to sensitive information, or disruption of services. Since the attacker needs to be authenticated, the risk is higher if credentials are compromised.

Compliance Impact

This vulnerability could lead to unauthorized access or exposure of sensitive data, which may violate compliance requirements under GDPR (data protection) or HIPAA (health information privacy). Organizations using this software may face regulatory penalties or legal consequences if exploited.

Mitigation Strategies

Apply the latest security patches or updates from IBM for DataStage on Cloud Pak for Data 5.4.0.0. Restrict remote authenticated access to only trusted users and systems. Monitor network traffic for unusual command execution patterns.

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