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IBM DataStage CVE-2026-82097

| EUVDEUVD-2026-75768 HIGH
Server-Side Request Forgery (SSRF) (CWE-918)
2026-09-10 ibm GHSA-789c-32x2-ggfv
8.8
CVSS 3.1 · Vendor: ibm
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Obtain low-privilege DataStage account credentials
  2. Delivery
    Submit SSRF-payload request to DataStage service endpoint
  3. Exploit
    Server initiates outbound request to internal cloud or cluster resource
  4. Execution
    Access privileged internal API or metadata service
  5. Impact
    Leverage internal response to execute arbitrary code on DataStage host

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V4 - API and Web Service URL allowlisting, SSRF prevention
MITRE ATT&CK

2 techniques across 2 tactics: Initial Access, Credential Access

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Exploitation Conditions

Exploitation requires valid credentials to IBM DataStage on Cloud Pak for Data 5.4.0.0 at any low-privilege level, as confirmed by CVSS PR:L. The DataStage service must be network-reachable by the attacker (AV:N). No special feature flag, non-default configuration, or administrator-level access is documented as a prerequisite - the SSRF appears to be exposed through standard DataStage functionality available to authenticated users. Exploitation is bounded by: (1) the mandatory credential requirement, which confines the threat to insiders, accounts compromised through phishing or credential stuffing, or deployments where self-service account creation is permitted; (2) the need to successfully chain SSRF access into a code-execution primitive, which is environment-dependent and relies on reachable internal services that expose command execution or equivalent capability within the Cloud Pak for Data cluster.

Impact

The CVSS 8.8 base score (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H) reflects a high-severity flaw with full host-level impact reachable over the network. PR:L is the primary limiting factor - exploitation is gated on possession of at least low-privilege DataStage credentials, excluding fully unauthenticated internet-facing risk. AC:L indicates no race condition or special deployment state is required beyond that credential requirement. No EPSS score was included in the intelligence input; absence of KEV listing and lack of any known public proof-of-concept moderates operational urgency relative to the raw CVSS score. IBM DataStage deployments are typically found in enterprise data environments with controlled user provisioning, which restricts the realistic threat actor pool to insiders, credential-compromise scenarios, or environments with self-service account registration. Despite the absence of known active exploitation, the RCE outcome against a platform that commonly processes sensitive business and financial data warrants treating this as a priority patch - particularly in multi-tenant or cloud-hosted Cloud Pak for Data environments where tenant isolation boundaries may amplify lateral reach.

Exploit ScenarioDerived

An attacker with low-privilege DataStage credentials submits a specially crafted data pipeline request or API call containing an attacker-controlled destination URL. The DataStage server-side process fetches the specified internal resource - such as the cloud instance metadata service or an internal Kubernetes API endpoint - and leverages the response to escalate into arbitrary code execution on the DataStage host. No public proof-of-concept has been identified, so successful exploitation currently requires a skilled attacker capable of manually chaining SSRF discovery with an appropriate internal RCE pivot specific to the target cloud environment.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
Patch available 0.4% exploitation probability (EPSS)

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AnalysisAIv1 – Sep 10, 2026

Remote code execution is achievable in IBM DataStage on Cloud Pak for Data 5.4.0.0 through a Server-Side Request Forgery vulnerability that enables an authenticated low-privilege attacker to cause the DataStage server to issue crafted requests to internal resources, ultimately resulting in full host compromise. The CVSS 8.8 score (PR:L) confirms that standard user-level credentials are sufficient to trigger the attack, with no user interaction required and full confidentiality, integrity, and availability impact. No public exploit code or active exploitation (CISA KEV) has been identified at time of analysis; a vendor-released patch is available via the IBM advisory.

RemediationAI

Apply the vendor-released patch per IBM security advisory at https://www.ibm.com/support/pages/node/7286562. The exact fixed version number is not enumerated in the available intelligence data and must be confirmed directly from the IBM advisory prior to deployment. As compensating controls while patching is in progress: restrict network-level access to the DataStage service to only known trusted hosts and user IP ranges, reducing the pool of potential attackers; enforce the principle of least privilege on DataStage user accounts to minimize the number of principals capable of triggering the SSRF. Additionally, deploy egress filtering on the DataStage pod or host to block outbound requests to cloud metadata endpoints (169.254.169.254, fd00:ec2::254) and internal cluster APIs, which limits the SSRF's lateral reach even when the input validation flaw is triggered. Note that egress filtering trade-offs may include disruption of legitimate DataStage integrations with internal data sources, so rules should be crafted carefully against known-good destination allowlists.

Affected VersionsENISA

DataStage on Cloud Pak for Data 5.4.0.0

Affected Packages

euvd datastage_on_cloud_pak_for_data no fix

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in euvd

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

IBM DataStage on Cloud Pak for Data is an enterprise ETL and data integration platform deployed on IBM's OpenShift-based Cloud Pak for Data stack, which runs as a containerized workload in Kubernetes environments. The vulnerability is rooted in CWE-918 (Server-Side Request Forgery), where attacker-controlled input causes the DataStage server process to initiate outbound HTTP or protocol requests to attacker-specified destinations. In cloud-native deployments, SSRF is a particularly high-impact primitive because it can target cloud instance metadata services (e.g., the AWS/GCP/Azure IMDS at 169.254.169.254), internal Kubernetes API servers, or adjacent microservices not otherwise reachable from the external network. The SSRF-to-RCE chain typically exploits access to a privileged internal service that exposes command execution, credential theft enabling lateral movement, or a writable endpoint that allows file drop and execution. The affected CPE (cpe:2.3:a:ibm:datastage_on_cloud_pak_for_data:*:*:*:*:*:*:*:*) uses a wildcard version field; the description specifically identifies 5.4.0.0 as the affected release.

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Severity by source

Vendor (ibm) PRIMARY 8.8 HIGH
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
vuln.today AI 8.8 HIGH

Network-reachable DataStage service requires low-privilege authentication (PR:L); SSRF-to-RCE yields full C/I/A impact on the vulnerable host with no scope change.

3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Primary rating from Vendor (ibm).

CVSS VectorVendor: ibm

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

DescriptionCVE.org

IBM DataStage on Cloud Pak for Data 5.4.0.0 could allow a remote authenticated attacker to execute arbitrary code due to a Server-Side Request Forgery (SSRF) vulnerability.

Executive ViewAI

Why It Matters

IBM DataStage on Cloud Pak for Data 5.4.0.0 can be compromised by standard users to gain full control of host systems, threatening any organization running this solution for data integration and ETL operations. The vulnerability poses immediate risk of data loss, corruption, and operational outages. Vendor patches are available and should be applied urgently, as the attack requires only routine employee credentials.

Business Impact: High
Compensating Controls

Apply vendor patch.

Threat Intelligence Overview

EPSS Score
0.4%
Top 71% exploitable
Prevalence
Medium
enterprise ETL platform, deployed in large organizations on IBM Cloud Pak
Data Quality
4 sources
Confidence: Medium

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.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.4%
Patch available Yes
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation· derived
None
System Exposure· derived
Open
Automatable· derived
No
Human Impact
High

Priority Score

44
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +44
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Server-Side Request Forgery exploits applications that fetch remote resources based on user-supplied URLs.

Remote Code Execution represents the critical moment when an attacker successfully runs arbitrary code on a target system without physical access.

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