Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain low-privileged DataStage account
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DeliveryAccess improperly-protected encrypted credential store
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ExploitExtract credentials of other users/environments
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ExecutionReuse credentials against downstream systems
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ImpactLateral movement / expanded data access
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A06:2025 - Insecure Design
ASVS 5.0
V6 - Authentication Credential protection in transit/storage
|
| Exploitation Conditions | Requires a valid authenticated account on IBM DataStage on Cloud Pak for Data 5.4.0.0 (PR:L) with network access to the deployment; no user interaction is needed. Exploitation is meaningful specifically in multi-user or multi-environment deployments where credentials belonging to other users or environments are stored and encrypted-credential handling can be abused to read them - a single-user or single-environment instance offers little to steal. What limits realistic exploitation: the attacker must already hold low-privileged access to this niche, typically internally-deployed enterprise ETL platform, so it is not remotely reachable by anonymous internet attackers. Value of the flaw scales with how many distinct users/environments share the cluster. |
| Impact | This is a credible but bounded confidentiality risk rather than a top-tier emergency. The CVSS 3.1 vector (AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N, 7.7 High) shows a network-reachable, low-complexity flaw requiring only a low-privileged authenticated account, with a scope change (S:C) reflecting that a legitimate DataStage user can cross a trust boundary to read credentials belonging to OTHER users or environments - CWE-522 (insufficiently protected credentials). Impact is confidentiality-only (I:N/A:N), but the leaked secrets are themselves credentials, so the real danger is downstream lateral movement once they are reused against the target systems those credentials protect. No EPSS score, no CISA KEV listing, and no public exploit are present in the provided data, so exploitation status is 'no public exploit identified at time of analysis' - the High score is driven by ease and impact of the primitive, not by evidence of active exploitation. No SSVC data was supplied. The prerequisite of a valid low-privileged account on a niche, internally-deployed enterprise ETL platform substantially narrows the realistic attacker population. No signals conflict; the main gap is the absence of exploitability telemetry (EPSS/KEV/POC), which is a data-availability limitation, not a contradiction. |
| Exploit ScenarioDerived | A low-privileged but authenticated DataStage user on a shared Cloud Pak for Data cluster abuses the improper handling of encrypted credentials to retrieve stored connection secrets belonging to other users or environments (e.g. database, API, or service credentials). They then reuse those harvested credentials to authenticate to the downstream systems the credentials were intended for, achieving lateral movement beyond their own authorization. No public proof-of-concept is identified at time of analysis. |
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Alert meAnalysisAIv1 – Sep 23, 2026
Credential disclosure in IBM DataStage on Cloud Pak for Data 5.4.0.0 lets an authenticated user recover encrypted credentials that were issued for other users or environments, because the product mishandles encrypted credential material. Exploitation is network-reachable and requires no user interaction, but it does require a valid low-privileged account on the deployment (CVSS 3.1: 7.7, AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N), so the risk is a bounded confidentiality exposure that grows with the number of users and environments sharing the cluster rather than a remotely exploitable anonymous flaw; no public exploit identified at time of analysis and no confirmed active exploitation (CISA KEV). A vendor patch is available per IBM's advisory.
RemediationAI
Apply the vendor fix cited in IBM's advisory at https://www.ibm.com/support/pages/node/7288649, which is listed as a patch reference; IBM has not published an exact fix version string in the provided data, so administrators should confirm the applicable 5.4.0.0 fix level or later Cloud Pak for Data fix pack directly in that bulletin before upgrading. Until patching is complete, the effective compensating controls follow from the fact that exploitation requires an existing low-privileged account: strictly limit who can authenticate to DataStage on the cluster, and remove or disable unused and service-level accounts, accepting the trade-off that this may slow onboarding of legitimate data engineers; segregate environments and tenants into separate projects or namespaces so that one credential store does not hold secrets for unrelated systems, at the cost of additional administrative overhead; rotate stored credentials for every data source referenced by the platform, weighing the risk of breaking scheduled jobs that still hold the old secrets; restrict network access to DataStage endpoints (management console, REST APIs, and job services) to trusted corporate networks or VPN, which may inconvenience remote users; and enable audit logging of credential and connection-store access to detect attempts to read secrets outside the owning account's scope.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
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Technical ContextAI · show details
DataStage is IBM's enterprise ETL/data-integration engine delivered as a service on Cloud Pak for Data, which runs on a Kubernetes/OpenShift container platform. To run jobs, the product stores connection credentials for source and target data systems and encrypts them at rest; CVE-2026-81208 is a CWE-522 (Insufficiently Protected Credentials) defect in that encryption/handling path, allowing an authenticated user to obtain credential material belonging to other users or environments instead of being confined to their own scope. The CVSS scope-change flag (S:C) reflects exactly this: the impact escapes the vulnerable component because the stolen secrets grant access to external data platforms, not merely to DataStage itself. The affected CPE is cpe:2.3:a:ibm:datastage_on_cloud_pak_for_data:*:*:*:*:*:*:*:*, with the vendor description pinning the reported release at Cloud Pak for Data 5.4.0.0. Exploitation prerequisites are a valid account (PR:L) and network reachability to the deployment; no user interaction is required (UI:N), and integrity and availability impacts are absent (I:N/A:N) because the flaw is a read-only credential exposure.
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Severity by source
AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N
Network-reachable low-privileged authenticated user (PR:L) reads other users'/environments' credentials, crossing a trust boundary (S:C, C:H) with no integrity or availability impact.
Primary rating from Vendor (ibm).
CVSS VectorVendor: ibm
DescriptionCVE.org
IBM DataStage on Cloud Pak for Data 5.4.0.0 could allow an authenticated user to access sensitive information due to improper handling of encrypted credentials. An attacker could exploit this vulnerability to obtain credentials intended for other users or environments.
Executive ViewAI
IBM DataStage on Cloud Pak for Data 5.4.0.0 allows an authenticated low-privileged user to recover encrypted credentials issued to other users or environments, creating a confidentiality exposure that scales with the number of teams and data pipelines sharing the deployment. Because these credentials often unlock downstream systems, a single compromised account could provide broad lateral access, making this a high-priority remediation for security leadership. No public exploit identified at time of analysis, but the risk is elevated in multi-tenant or shared environments.
Apply vendor patch.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
Arbitrary file read, write, and delete on IBM DataStage on Cloud Pak for Data 5.4.0.0 is possible for an authenticated l
Authenticated OS command execution in IBM DataStage on Cloud Pak for Data 5.4.0.0 lets a remote attacker with a valid ac
Authenticated path traversal in IBM DataStage on Cloud Pak for Data 5.4.0.0 allows a remote attacker holding a valid pla
Denial of service in IBM DataStage on Cloud Pak for Data 5.4.0.0 can be triggered by a remote user who already holds val
Improper authentication in IBM DataStage on Cloud Pak for Data 5.4.0.0 allows a remote authenticated (low-privileged) at
Arbitrary file creation in IBM DataStage on Cloud Pak for Data 5.4.0.0 allows a remote authenticated attacker to write f
OS command injection in IBM DataStage on Cloud Pak for Data 5.4.0.0 lets a remote authenticated attacker with a low-priv
OS command injection in IBM DataStage on Cloud Pak for Data 5.4.0.0 allows a remote authenticated attacker holding only
OS command injection in IBM DataStage on Cloud Pak for Data 5.4.0.0 lets an authenticated remote attacker with only low-
OS command injection in IBM DataStage on Cloud Pak for Data 5.4.0.0 allows an authenticated remote attacker holding low-
IBM DataStage on Cloud Pak for Data 5.4.0.0 allows a remote authenticated attacker with low privileges to execute arbitr
OS command injection in IBM DataStage on Cloud Pak for Data 5.4.0.0 lets an authenticated remote user execute arbitrary
EUVD-2026-85707
GHSA-w4gx-4wqm-cq66
NVD
CVE.org
EPSS
Vulnrichment
Exploit-DB