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IBM DataStage EUVDEUVD-2026-106864

| CVE-2026-81212 CRITICAL
Improper Authorization (CWE-285)
2026-10-20 psirt@us.ibm.com GHSA-94v7-vrp8-c6rw
10.0
CVSS 3.1 · Vendor: us
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Attack ChainAIDerived

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

  1. Access
    Reach network-exposed DataStage endpoint
  2. Delivery
    Send unauthenticated Redis write request
  3. Exploit
    Inject arbitrary key under target tenant
  4. Execution
    Poison victim tenant cached flow parameters
  5. Impact
    Collapse cross-tenant credential-encryption boundary

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V8 - Authorization Authorization verification
MITRE ATT&CK

1 technique across 1 tactic: Defense Evasion

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

Exploitation Conditions

No special conditions beyond deployment of the affected build - remote unauthenticated exploitation is possible against IBM DataStage on Cloud Pak for Data 5.4.0.0 that uses the shared multi-tenant Redis backing store described in the advisory. The attacker needs network reachability to the DataStage service and the platform must be running in its multi-tenant configuration where tenants share the same Redis instance (the mechanism the flaw abuses). The primary limiting factor is version scope: only 5.4.0.0 is listed as affected, so environments on other builds or with network-segmented/isolated Redis are not exposed by this specific issue.

Impact

All provided signals point to a maximally severe but not-yet-observed-in-the-wild issue. The CVSS 3.1 vector (AV:N/AC:L/PR:N/UI:N/S:C) and base score of 10.0 are confirmed by IBM PSIRT and describe a network-reachable, low-complexity, fully unauthenticated flaw with a scope change - coherent with the description of an anonymous caller writing into shared multi-tenant Redis and collapsing the credential-encryption boundary across tenants. However, key escalation signals are MISSING from the input: no EPSS probability is provided, the CVE is not listed in CISA KEV, and no public exploit (POC) code is referenced, so exploitation status is 'no public exploit identified at time of analysis.' One point to verify: the vector sets A:N (no availability impact) while rating C:H/I:H, which fits an arbitrary-write / credential-exposure primitive rather than a crash/DoS - this is internally consistent, not contradictory. Net assessment: this is a genuine top-priority patch target for any org running the affected build because the exploitation barrier is effectively zero (unauthenticated, network, low complexity), but with no EPSS/KEV/POC data, active or widespread exploitation cannot be asserted - prioritize on the trivial preconditions and cross-tenant blast radius, not on confirmed in-the-wild activity.

Exploit ScenarioDerived

An anonymous attacker with only network access to the DataStage service on Cloud Pak for Data 5.4.0.0 sends a crafted request that writes an arbitrary value into the shared Redis instance under another tenant's key. By poisoning the cached flow parameters of a victim tenant, the attacker subverts the platform's credential-encryption boundary, enabling cross-tenant data integrity compromise and exposure of sensitive cached credentials. No public exploit code is referenced, but the described preconditions (AV:N/AC:L/PR:N/UI:N) make weaponization straightforward.

Act Now Prioritize within 24-48h. Why: CRITICAL severity.
No patch listed yet 0.3% exploitation probability (EPSS)

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AnalysisAIv1 – Oct 21, 2026

Unauthenticated remote write access in IBM DataStage on Cloud Pak for Data 5.4.0.0 lets an attacker manipulate the shared Redis backing store under any tenant's key, collapsing the platform's credential-encryption boundary and allowing cached flow parameters to be poisoned across tenants. The issue is rated CVSS 10.0 (AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:N) and requires the multi-tenant deployment pattern where tenants share the same Redis instance. No public exploit was identified at time of analysis, and no CISA KEV entry was provided.

RemediationAI

No fixed build is specified in the supplied references, so IBM's advisory at https://www.ibm.com/support/pages/node/7289603 should be treated as the authoritative source for a patched release and upgrade instructions; until a fix is confirmed, treat 5.4.0.0 as affected. Compensating controls should focus on the shared Redis boundary: restrict network reachability so only trusted DataStage service components can reach Redis, and segment or firewall the DataStage-to-Redis path, accepting that cross-tenant workflows relying on the shared cache may need revalidation. Require Redis authentication and TLS (AUTH/ACL), bind Redis to private interfaces, and remove unauthenticated access, with the trade-off that all clients must be reconfigured and misconfiguration can break DataStage flows. Where feasible, isolate tenants onto separate Redis instances or enforce per-tenant Redis ACLs and key namespaces, which adds operational cost and may require application changes. Review and rotate cached credentials or flow parameters that may have been exposed, and monitor Redis for cross-tenant key writes; these checks may generate additional logging and investigation overhead.

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

CWE-285 (Improper Authorization) is the root cause: DataStage does not adequately enforce tenant authorization when writing to the shared Redis cache, so a caller without credentials can address another tenant's Redis key namespace. Redis is a separate shared component, which explains the scope-changed CVSS vector (S:C), and the assessed confidentiality and integrity impacts (C:H/I:H) reflect the exposure and manipulation of cached tenant data, including flow parameters and data tied to the credential-encryption boundary. Availability impact is rated none (A:N). The supplied data contains no CPE strings; EUVD lists only DataStage on Cloud Pak for Data 5.4.0.0, and IBM's advisory at https://www.ibm.com/support/pages/node/7289603 should be consulted for product-specific details.

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Severity by source

Vendor (us) PRIMARY 10.0 CRITICAL
AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:N
vuln.today AI 10.0 CRITICAL

Unauthenticated network write (AV:N/AC:L/PR:N/UI:N); crossing into other tenants' keys is a scope change (S:C) with high confidentiality and integrity impact but no availability effect (A:N).

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

Primary rating from Vendor (us).

CVSS VectorVendor: us

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

DescriptionCVE.org

IBM DataStage on Cloud Pak for Data 5.4.0.0 allows an unauthenticated user to perform an arbitrary write into shared Redis under any tenant's key. This collapses the platform's credential-encryption boundary and lets an anonymous caller poison any tenant's cached flow parameters.

Executive ViewAI

Why It Matters

IBM DataStage on Cloud Pak for Data 5.4.0.0 exposes multi-tenant deployments that share a Redis backing store to unauthenticated remote write access, allowing an attacker to poison cached flow parameters and cross tenant boundaries, undermining the platform's credential-encryption protections. Because the flaw is rated CVSS 10.0 and requires no authentication, any organization running shared-Redis multi-tenant DataStage environments faces potential cross-customer data exposure and loss of tenant isolation. Security leadership should treat this as a board-visible trust and compliance risk until isolation is restored or a vendor fix is available.

Business Impact: Severe
Compensating Controls

No vendor-released patch identified at time of analysis. Interim mitigations: restrict Redis network exposure to trusted DataStage components; require Redis authentication and TLS; isolate tenants onto separate Redis instances or tightly scoped logical databases/ACLs; rotate credentials and audit cached flow parameters; monitor for anomalous cross-tenant writes; engage IBM support for patch timeline and vendor guidance.

Threat Intelligence Overview

EPSS Score
0.3%
Top 82% exploitable
Prevalence
Medium
enterprise IBM data-integration platform, significant but not universal deployment
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 CRITICAL
CISA KEV No
Public POC No
EPSS 0.3%
Patch available No
Active threat No
Deciding rule
CRITICAL severity
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
Yes
Human Impact
Very High

Priority Score

50
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +50
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Authentication bypass attacks exploit flaws in the verification mechanisms that control access to systems and applications.

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