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Data Science Pipelines CVE-2026-18620

| EUVDEUVD-2026-55826 HIGH
Authorization Bypass Through User-Controlled Key (CWE-639)
2026-08-10 redhat GHSA-g68c-wmxr-x3rh
7.1
CVSS 3.1 · Vendor: redhat
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Severity by source

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

Scope set to Changed because successful exploitation crosses tenant security boundaries into other users' pods and secrets; PR:L confirmed by required tenant credential.

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

Primary rating from Vendor (redhat).

CVSS VectorVendor: redhat

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N
Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
Low
Availability
None

Lifecycle Timeline

2
Analysis Generated
Aug 10, 2026 - 21:29 vuln.today
CVE Published
Aug 10, 2026 - 20:45 nvd
HIGH 7.1

DescriptionCVE.org

A flaw was found in Data Science Pipelines. A restricted user, or tenant, can exploit an improper authorization vulnerability in the setDefaultServiceAccount function. By specifying a more privileged ServiceAccount (SA) during a CreateRun request, an attacker can bypass authorization checks. This allows the tenant to run their containers with elevated privileges, potentially leading to the disclosure of sensitive information (secrets) and the ability to execute commands within other users' pods.

AnalysisAI

Privilege escalation in Red Hat OpenShift AI's Data Science Pipelines component allows authenticated tenants to bypass authorization controls in the setDefaultServiceAccount function by submitting a crafted CreateRun request that references a more privileged ServiceAccount than they are entitled to use. Successful exploitation enables the tenant's pipeline containers to run with elevated Kubernetes RBAC permissions, resulting in cross-namespace secret disclosure and the ability to execute commands inside other tenants' pods. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
Obtain valid tenant-level RHOAI credentials
Delivery
Enumerate privileged ServiceAccount names in cluster
Exploit
Craft CreateRun request referencing target ServiceAccount
Execution
Bypass setDefaultServiceAccount authorization check
Persist
Pipeline container executes with elevated SA RBAC permissions
Impact
Exfiltrate cross-namespace secrets and exec into other tenants' pods

Vulnerability AssessmentAI

Exploitation Exploitation requires an authenticated session with at least tenant-level access to the Data Science Pipelines API in Red Hat OpenShift AI - specifically, the permission to submit CreateRun requests. … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment The CVSS 3.1 score of 7.1 (High) with vector AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N accurately captures the network-accessible, low-complexity nature of the flaw but the unchanged scope metric arguably understates practical blast radius: cross-tenant pod exec and secret disclosure in a shared cluster breaks tenant isolation in a manner functionally equivalent to a scope change. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario An attacker with a valid tenant account on a shared Red Hat OpenShift AI cluster submits a CreateRun API request containing the name of a privileged ServiceAccount - such as one bound to a cluster-level role or another tenant's namespace - as the default SA parameter, exploiting the missing authorization check in setDefaultServiceAccount. The resulting pipeline container launches with that SA's RBAC permissions, enabling the attacker to list and extract Kubernetes secrets cluster-wide and use the Kubernetes API to exec into pods belonging to other tenants. …
Remediation Consult the Red Hat advisory at https://access.redhat.com/security/cve/CVE-2026-18620 and apply any RHOAI update that addresses CVE-2026-18620; no exact patched version was confirmed in available data, so monitor the Bugzilla entry at https://bugzilla.redhat.com/show_bug.cgi?id=2510320 for fix version publication. … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours, inventory all OpenShift AI deployments utilizing Data Science Pipelines and confirm multi-tenant configuration; document which external or internal users have authentication credentials. …

Sign in for detailed remediation steps and compensating controls.

Threat intelligence, references, and detailed analysis are available after sign-in.

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CVE-2026-18620 vulnerability details – vuln.today

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