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Vulnerability Database/CVE-2026-16346

CVE-2026-16346: IBM DataStage Cloud Pak RCE Vulnerability

CVE-2026-16346 is a remote code execution vulnerability in IBM DataStage on Cloud Pak for Data 5.4.0.0 caused by improper OS command neutralization. Authenticated attackers can execute arbitrary commands on affected systems. This article covers technical details, affected versions, security impact, and recommended mitigation strategies.

Published:

CVE-2026-16346 Overview

IBM DataStage on Cloud Pak for Data 5.4.0.0 contains an OS command injection vulnerability. A remote authenticated attacker can execute arbitrary commands on the underlying system by supplying crafted input that is not properly neutralized before being passed to an operating system command. The flaw is tracked under [CWE-285] and impacts confidentiality, integrity, and availability across a changed security scope.

Critical Impact

Authenticated attackers can execute arbitrary OS commands on IBM DataStage on Cloud Pak for Data 5.4.0.0, gaining control over the DataStage runtime and potentially adjacent Cloud Pak workloads.

Affected Products

  • IBM DataStage on Cloud Pak for Data 5.4.0.0
  • IBM Cloud Pak for Data (deployments running the affected DataStage component)
  • Data integration pipelines dependent on the vulnerable DataStage service

Discovery Timeline

  • 2026-09-22 - CVE-2026-16346 published to the National Vulnerability Database
  • 2026-09-23 - Last updated in NVD database

Technical Details for CVE-2026-16346

Vulnerability Analysis

The vulnerability is an OS command injection issue in IBM DataStage on Cloud Pak for Data 5.4.0.0. Attacker-controlled input reaches an operating system command constructor without sufficient neutralization of shell metacharacters. An authenticated user with low privileges can inject additional commands that execute in the context of the DataStage service account.

Because the CVSS scope is changed, successful exploitation crosses a security boundary. Commands executed by the DataStage runtime can influence resources managed by other Cloud Pak for Data components, including data assets, secrets, and connected data sources. The impact covers full loss of confidentiality, integrity, and availability of the affected component.

Root Cause

The root cause is improper neutralization of special elements used in an OS command, an issue mapped to [CWE-285] in the NVD record. The affected code path builds a shell command by concatenating attacker-supplied values with a static template, rather than passing arguments through a safe execution API or applying strict allowlist validation.

Attack Vector

Exploitation requires network access to the DataStage interface and valid low-privilege credentials. No user interaction is required. An attacker submits a request to a DataStage feature that invokes an underlying OS command, embedding shell metacharacters such as ;, |, or backticks to append arbitrary commands. Refer to the IBM Security Support Note for vendor-specific technical details.

No verified proof-of-concept code has been published. The vulnerability mechanism is described in prose because no sanitized exploit sample is available in the enriched data.

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Detection Methods for CVE-2026-16346

Indicators of Compromise

  • Unexpected child processes spawned by the DataStage runtime or dsapi_server service accounts.
  • Shell interpreters (/bin/sh, /bin/bash) executed from Cloud Pak for Data pods that normally run only Java or Python workloads.
  • Outbound network connections from DataStage pods to attacker-controlled infrastructure following an authenticated API request.
  • DataStage audit log entries containing shell metacharacters (;, &&, |, backticks) in job or connection parameters.

Detection Strategies

  • Baseline the process tree of DataStage containers and alert on deviations, especially shell or scripting interpreter invocations.
  • Correlate authenticated DataStage API calls with subsequent process creation events to identify injection attempts.
  • Inspect DataStage job definitions and connector configurations for injected command payloads before execution.

Monitoring Recommendations

  • Forward Cloud Pak for Data audit logs and Kubernetes runtime telemetry to a centralized analytics platform for correlation.
  • Monitor egress traffic from DataStage pods and flag connections to non-approved destinations.
  • Track authentication events for DataStage users and alert on privilege changes or unusual job submission patterns.

How to Mitigate CVE-2026-16346

Immediate Actions Required

  • Apply the fix referenced in the IBM Security Support Note as soon as it is available for your deployment.
  • Restrict DataStage access to trusted network segments and enforce multi-factor authentication for all users.
  • Rotate credentials and API keys stored in DataStage connections following patch deployment.
  • Audit recently submitted DataStage jobs for suspicious parameters or embedded shell metacharacters.

Patch Information

IBM has issued guidance for CVE-2026-16346 in the IBM Security Support Note. Administrators should consult the note for the specific fix pack or interim fix that applies to IBM DataStage on Cloud Pak for Data 5.4.0.0 and follow the documented upgrade procedure.

Workarounds

  • Remove or restrict access to DataStage features that invoke OS commands until the patch is applied.
  • Enforce least privilege for DataStage user roles and remove unnecessary job creation permissions.
  • Deploy network policies to limit outbound traffic from DataStage pods to only required data sources.
bash
# Example Kubernetes NetworkPolicy restricting DataStage egress
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: datastage-egress-restrict
  namespace: cpd
spec:
  podSelector:
    matchLabels:
      app: datastage
  policyTypes:
    - Egress
  egress:
    - to:
        - namespaceSelector:
            matchLabels:
              name: cpd
      ports:
        - protocol: TCP
          port: 443

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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