IBM DataStage on Cloud Pak for Data 5.4.0.0 could allow a remote authenticated attacker to execute arbitrary code due to OS command injection. (CVE-2026-81537)
IBM DataStage on Cloud Pak for Data version 5.4.0.0 contains a vulnerability that allows a remote authenticated attacker to execute arbitrary code via OS command injection. This vulnerability is identified as CVE-2026-81537 and has a high severity rating with a CVSS score of 8.8. The flaw requires the attacker to have authentication privileges and does not require user interaction. No patch or remediation information is currently provided.
AI Analysis
Technical Summary
CVE-2026-81537 describes an OS command injection vulnerability in IBM DataStage on Cloud Pak for Data 5.4.0.0. A remote attacker with valid authentication credentials can exploit this vulnerability to execute arbitrary operating system commands, potentially leading to full compromise of the affected system. The vulnerability has a CVSS v3.1 base score of 8.8, indicating high impact on confidentiality, integrity, and availability. No known exploits in the wild or vendor patch information are currently available.
Potential Impact
Successful exploitation allows a remote authenticated attacker to execute arbitrary code on the affected system, which can lead to complete system compromise including unauthorized data access, modification, or disruption of service. The high CVSS score reflects significant risk to confidentiality, integrity, and availability.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict access to the affected IBM DataStage instance to trusted users only and monitor for suspicious activity. Avoid exposing the service to untrusted networks.
IBM DataStage on Cloud Pak for Data 5.4.0.0 could allow a remote authenticated attacker to execute arbitrary code due to OS command injection. (CVE-2026-81537)
Description
IBM DataStage on Cloud Pak for Data version 5.4.0.0 contains a vulnerability that allows a remote authenticated attacker to execute arbitrary code via OS command injection. This vulnerability is identified as CVE-2026-81537 and has a high severity rating with a CVSS score of 8.8. The flaw requires the attacker to have authentication privileges and does not require user interaction. No patch or remediation information is currently provided.
CVSS v3.1
Score 8.8high
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-81537 describes an OS command injection vulnerability in IBM DataStage on Cloud Pak for Data 5.4.0.0. A remote attacker with valid authentication credentials can exploit this vulnerability to execute arbitrary operating system commands, potentially leading to full compromise of the affected system. The vulnerability has a CVSS v3.1 base score of 8.8, indicating high impact on confidentiality, integrity, and availability. No known exploits in the wild or vendor patch information are currently available.
Potential Impact
Successful exploitation allows a remote authenticated attacker to execute arbitrary code on the affected system, which can lead to complete system compromise including unauthorized data access, modification, or disruption of service. The high CVSS score reflects significant risk to confidentiality, integrity, and availability.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict access to the affected IBM DataStage instance to trusted users only and monitor for suspicious activity. Avoid exposing the service to untrusted networks.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-255m-vfhq-64w7
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2026-81537"]
- Database Specific Severity
- HIGH
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6ab4be21f7a7c54106eee6ec
Added to database: 09/24/2026, 06:07:29 UTC
Last enriched: 09/24/2026, 06:18:55 UTC
Last updated: 09/25/2026, 02:47:33 UTC
Views: 6
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