Published severityHigh→Operational priority:High, unchanged from published severity.unchanged
Evidence used
No CISA KEV confirmation is currently recorded.
EPSS is 0.70% for the current model date.
Compensating controls
Validate the affected product branch and deploy the verified fixed release.
Restrict the affected network interface to trusted sources where business-safe.
Monitor vendor guidance and exploitation sources for a material change.
Verification
Confirm that the asset runs Red Hat Red Hat OpenShift AI 2.25 and falls inside the recorded affected range.
Verify the installed build against the product-specific fixed version after deployment.
Validate exposure, authentication requirements and compensating controls in the actual environment.
Reopen this reassessment when CVSS, KEV, EPSS, exploit evidence or remediation changes.
Direct vendor intelligence
Authoritative vendor CSAF and VEX advisories
Structured product status and remediation from the issuing vendor. Product-state explanations are always visible; large lists can be searched or downloaded.
The vendor explicitly identifies these products or versions as containing the fix.
registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:45082ad3797b2c3c3fdf9111b462e5bcbbba077f3450e37831de1f590197239c_ppc64le as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:6f77fcdf0e5f77c142c3695875a636fa51b338f422c01eb76f525825bc9eee63_ppc64le as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:761109d79279873a26f72108c0da78901920bfdb3a0fb2a808e1b83f7b61f8c7_amd64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:c76046c03d7ecfed750ceb8a58c5e51f04f0b46b6c8ba473233d1dc54d646b1d_arm64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:e0d085c660c39b702db988fc8822b913da8a801525c0fd5896de174a15213c7c_arm64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:e910488975b28286d1e38ead00be371fcc0a678e9f1246e2db9f70d41dbeabc7_amd64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:5458629cd0e8d2a3fc50403c3c7f7f789a1e4695771aa6fe2de79e6609a16121_arm64 as a component of Red Hat OpenShift AI 3.3
registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:abdbd12b164305bb687eea036d4c6d799434dcce6a6579d54cb66ec1459db9f8_ppc64le as a component of Red Hat OpenShift AI 3.3
registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:b75512bc1ef0d56f7d7f3b2f2551f2ab9e246c804d60b5275d24be4992707cdd_amd64 as a component of Red Hat OpenShift AI 3.3
registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:0f03176447cd2236bb993f8a949e7dff3fbc696cf4fcf3d73bbe8f71932608c3_arm64 as a component of Red Hat OpenShift AI 3.4
registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:201cc48366e9650b4524b83352e72289bf62235a7ab9aa2903eb4ebee2ae83ee_arm64 as a component of Red Hat OpenShift AI 3.4
registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:311838115836610e249c0e8994c07f31b73f2006945da38f0f992f87753891c7_ppc64le as a component of Red Hat OpenShift AI 3.4
Summary
A flaw was found in the Data Science Pipelines Operator (DSPO). The operator's ClusterRole, which defines its permissions, includes extensive privileges beyond what is necessary for its operation. These excessive permissions, such as the ability to execute commands within pods and manage cluster-wide roles, could be exploited. If the DSPO pod were compromised, an attacker could leverage these privileges to gain full administrative control over the entire Kubernetes cluster.
Remediation
For Red Hat OpenShift AI 2.25.10 see the following documentation, which will be updated shortly for this release, for important instructions on how to upgrade your cluster and fully apply this errata update: https://docs.redhat.com/en/documentation/red_hat_openshift_ai/
Optional official sources
National CERT insights ?CERT means Computer Emergency Response Team; CSIRT is the closely related term Computer Security Incident Response Team.
Choose official national sources for this report. Each advisory shows its original language. Your selection is remembered on this device and included in shared links.
Official European source
ENISA European Vulnerability Database
Official EUVD identifiers, advisory evidence and known-exploited context. Missing fields are not treated as evidence of low risk.
1 current
ENISA EUVD identifier
EUVD-2026-55812
No EUVD known-exploited evidence
A flaw was found in the Data Science Pipelines Operator (DSPO). The operator's ClusterRole, which defines its permissions, includes extensive privileges beyond what is necessary for its operation. These excessive permissions, such as the ability to execute commands within pods and manage cluster-wide roles, could be exploited. If the DSPO pod were compromised, an attacker could leverage these privileges to gain full administrative control over the entire Kubernetes cluster.
EUVD state
Present in the current official mapping
Known exploitation
Not present in the current ENISA EUVD known-exploited dataset. This is not proof of no exploitation.
ENISA score
8.7 · CVSS 3.1
Advisory evidence
No linked advisory details stored yet
Recommended actionWithin 7 days
High technical severity; prioritise exposed affected systems while verifying vendor guidance.
Patch available
01
What, why and how
A flaw was found in the Data Science Pipelines Operator (DSPO). The operator's ClusterRole, which defines its permissions, includes extensive privileges beyond what is necessary for its operation. These excessive permissions, such as the ability to execute commands within pods and manage cluster-wide roles, could be exploited. If the DSPO pod were compromised, an attacker could leverage these privileges to gain full administrative control over the entire Kubernetes cluster.
What
A flaw was found in the Data Science Pipelines Operator (DSPO). The operator's ClusterRole, which defines its permissions, includes extensive privileges beyond what is necessary for its operation. These excessive permissions, such as the ability to execute commands within pods and manage cluster-wide roles, could be exploited. If the DSPO pod were compromised, an attacker could leverage these privileges to gain full administrative control over the entire Kubernetes cluster.
Why
The product performs an operation at a privilege level that is higher than the minimum level required, which creates new weaknesses or amplifies the consequences of other weaknesses.
How
An attacker operating through a network path may attempt exploitation with elevated privileges. If successful, the issue may execute code or commands in the affected security context.
What
A flaw was found in the Data Science Pipelines Operator (DSPO). The operator's ClusterRole, which defines its permissions, includes extensive privileges beyond what is necessary for its operation. These excessive permissions, such as the ability to execute commands within pods and manage cluster-wide roles, could be exploited. If the DSPO pod were compromised, an attacker could leverage these privileges to gain full administrative control over the entire Kubernetes cluster.
Why
The product performs an operation at a privilege level that is higher than the minimum level required, which creates new weaknesses or amplifies the consequences of other weaknesses.
How
An attacker operating through a network path may attempt exploitation with elevated privileges. If successful, the issue may execute code or commands in the affected security context.
02
Exploit reality and attack path
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
Observed exploitation ?Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.No confirmed evidence
No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.
Public PoC / exploit material ?Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.None recorded
No exploit-tagged reference or CISA SSVC proof-of-concept state is currently recorded. Research may still exist outside the structured feeds.
Likely attack path
a network path → Execution with Unnecessary Privileges → execute code or commands in the affected security context
Attack surface
Network
Privileges required
High: elevated access is required
User interaction
None
Attack complexity
Low: no specialised conditions are recorded
Security boundary
Changed: exploitation can affect a different security authority
Weakness ?CWE means Common Weakness Enumeration: a standard category for the underlying weakness.
CWE-250: Execution with Unnecessary Privileges. The product performs an operation at a privilege level that is higher than the minimum level required, which creates new weaknesses or amplifies the consequences of other weaknesses.
CVSS vector ?CVSS means Common Vulnerability Scoring System. The vector records the metric values used to calculate technical severity.
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:N
Common Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.
AVNetworkAttack vector: The vulnerable component can be reached over a network.ACLowAttack complexity: No specialised conditions are required beyond attacker-controlled input.PRHighPrivileges required: The attacker needs elevated or administrative privileges.UINoneUser interaction: No action by another user is required.SChangedScope: The attack can affect a component governed by a different security authority.CHighConfidentiality impact: A successful attack can cause a major loss.IHighIntegrity impact: A successful attack can cause a major loss.ANoneAvailability impact: No direct loss is represented by this metric.
Post-exploitation / living off the land
After compromise, an attacker may use built-in shells, scripting engines, scheduled tasks and native network utilities for discovery, persistence or movement. This is a plausible LoTL path, not evidence that it has occurred for every attack.
NetworkRemote code executionCWE-250
A
Official authority intelligence
Only matched European and national findings are included. Language selectors and unavailable sources are omitted.
ENISA EUVD · EUVD-2026-55812Official EUVD mapping
A flaw was found in the Data Science Pipelines Operator (DSPO). The operator's ClusterRole, which defines its permissions, includes extensive privileges beyond what is necessary for its operation. These excessive permissions, such as the ability to execute commands within pods and manage cluster-wide roles, could be exploited. If the DSPO pod were compromised, an attacker could leverage these privileges to gain full administrative control over the entire Kubernetes cluster.
Official EUVD record ↗BSI · German · WID-SEC-2026-2750Red Hat OpenShift: Mehrere Schwachstellen
Ein Angreifer kann mehrere Schwachstellen in Red Hat OpenShift ausnutzen, um beliebigen Programmcode auszuführen, um seine Privilegien zu erhöhen, um einen Denial of Service Angriff durchzuführen, um Informationen offenzulegen, und um Dateien zu manipulieren.
Official advisory ↗Cyber Security Agency of Singapore · English · CSA-SB-20260812Security Bulletin 12 Aug 2026
The Cyber Security Agency of Singapore included this CVE in its official Security Bulletin 12 Aug 2026, published on 12 August 2026. Open the linked bulletin for the product, severity and reference information published in that issue.
Operational remediation based on structured source evidence.
Status ?Patch availability is based on structured fixed-version fields and authoritative update references. If no fix is verified, check the vendor advisory before making a change.
For Red Hat OpenShift AI 2.25.10 see the following documentation, which will be updated shortly for this release, for important instructions on how to upgrade your cluster and fully apply this errata update: https://docs.redhat.com/en/documentation/red_hat_openshift_ai/
Workaround
No verified workaround is recorded. If business-safe, reduce exposure to the affected interface and allow only trusted sources until authoritative guidance is available.
04
Evidence and provenance
Published 10 Aug 2026 · Last source change 21 Sept 2026, 10:24 UTC · CWE-250 · Execution with Unnecessary Privileges
CVE recordCVE.org · 5.2
CVSS sourceCNA
EPSS source ?The date BlackTree first stored a score for this CVE from the daily FIRST EPSS feed.FIRST · tracked since 2026-08-14
European sourceENISA EUVD · EUVD-2026-55812
Product sourceCNA
Remediation sourceVendor CSAF · Red Hat Product Security
CWE sourceCNA
NVD statusNVD awaiting enrichment
Missing structured fields: affected versions. Missing data is not evidence of low risk; review the primary advisory.
Affected versionsThe structured affected or fixed version information changed.
Before
See the vendor and CVE records for the affected range. · Fixed: Red Hat OpenShift AI 2.25: 1785189332 < *, 1788182334 < *; Red Hat OpenShift AI 3.3: 1785187936 < *; Red Hat OpenShift AI 3.4: 1784833428 < *, 1787002057 < *
After
See the vendor and CVE records for the affected range. · Fixed: Red Hat OpenShift AI 2.25: 1785189332 < *, 1788182334 < *; Red Hat OpenShift AI 3.3: 1785187936 < *; Red Hat OpenShift AI 3.4: 1784833428 < *, 1787002057 < *; Red Hat OpenShift AI 3.5: 1786552271 < *, 1786552250 < *
Affected versionsThe structured affected or fixed version information changed.
Before
Fixed: registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:45082ad3797b2c3c3fdf9111b462e5bcbbba077f3450e37831de1f590197239c_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:6f77fcdf0e5f77c142c3695875a636fa51b338f422c01eb76f525825bc9eee63_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:761109d79279873a26f72108c0da78901920bfdb3a0fb2a808e1b83f7b61f8c7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:c76046c03d7ecfed750ceb8a58c5e51f04f0b46b6c8ba473233d1dc54d646b1d_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:e0d085c660c39b702db988fc8822b913da8a801525c0fd5896de174a15213c7c_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:e910488975b28286d1e38ead00be371fcc0a678e9f1246e2db9f70d41dbeabc7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:5458629cd0e8d2a3fc50403c3c7f7f789a1e4695771aa6fe2de79e6609a16121_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:abdbd12b164305bb687eea036d4c6d799434dcce6a6579d54cb66ec1459db9f8_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:b75512bc1ef0d56f7d7f3b2f2551f2ab9e246c804d60b5275d24be4992707cdd_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:0f03176447cd2236bb993f8a949e7dff3fbc696cf4fcf3d73bbe8f71932608c3_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:201cc48366e9650b4524b83352e72289bf62235a7ab9aa2903eb4ebee2ae83ee_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:311838115836610e249c0e8994c07f31b73f2006945da38f0f992f87753891c7_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:5fa73ac9806750dba8388a9b3087f44d3cc82f015e620defd84f2adfe0301d50_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:df6a90d8daf4cf1e72da37742e77f47628842c0ec9d8134a2831ff9f22119cbd_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:ff7949a0e9c7e53332ef5b66d56b195b5857cb565cf7c77db7e371dc583b4f74_amd64 as a component of Red Hat OpenShift AI 3.4
After
Fixed: registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:45082ad3797b2c3c3fdf9111b462e5bcbbba077f3450e37831de1f590197239c_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:6f77fcdf0e5f77c142c3695875a636fa51b338f422c01eb76f525825bc9eee63_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:761109d79279873a26f72108c0da78901920bfdb3a0fb2a808e1b83f7b61f8c7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:c76046c03d7ecfed750ceb8a58c5e51f04f0b46b6c8ba473233d1dc54d646b1d_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:e0d085c660c39b702db988fc8822b913da8a801525c0fd5896de174a15213c7c_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:e910488975b28286d1e38ead00be371fcc0a678e9f1246e2db9f70d41dbeabc7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:5458629cd0e8d2a3fc50403c3c7f7f789a1e4695771aa6fe2de79e6609a16121_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:abdbd12b164305bb687eea036d4c6d799434dcce6a6579d54cb66ec1459db9f8_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:b75512bc1ef0d56f7d7f3b2f2551f2ab9e246c804d60b5275d24be4992707cdd_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:0f03176447cd2236bb993f8a949e7dff3fbc696cf4fcf3d73bbe8f71932608c3_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:201cc48366e9650b4524b83352e72289bf62235a7ab9aa2903eb4ebee2ae83ee_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:311838115836610e249c0e8994c07f31b73f2006945da38f0f992f87753891c7_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:5fa73ac9806750dba8388a9b3087f44d3cc82f015e620defd84f2adfe0301d50_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:df6a90d8daf4cf1e72da37742e77f47628842c0ec9d8134a2831ff9f22119cbd_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:ff7949a0e9c7e53332ef5b66d56b195b5857cb565cf7c77db7e371dc583b4f74_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-latency-predictor-prediction-rhel9@sha256:5743e64bd3a2947dc022830f2d769f4ff90daf04b3e6dcfaba6420815cdb52e5_arm64 as a component of Red Hat OpenShift AI 3.5; registry.redhat.io/rhoai/odh-latency-predictor-prediction-rhel9@sha256:ada20174176992b0ee306e6eface5bff06f06a71783f3deccd530a5bc4fe80a1_amd64 as a component of Red Hat OpenShift AI 3.5; registry.redhat.io/rhoai/odh-latency-predictor-training-rhel9@sha256:4f1a03f0801811aea4550346a041c079d1cbb80cdb6f128a513122eebe3f2cef_arm64 as a component of Red Hat OpenShift AI 3.5; registry.redhat.io/rhoai/odh-latency-predictor-training-rhel9@sha256:5bdb27b5f11d3057f9087b1e08e68b13e107541d595cbf9066d4f7a96a472ae9_amd64 as a component of Red Hat OpenShift AI 3.5
Affected versionsThe structured affected or fixed version information changed.
Before
See the vendor and CVE records for the affected range. · Fixed: Red Hat OpenShift AI 2.25: 1785189332 < *; Red Hat OpenShift AI 3.3: 1785187936 < *; Red Hat OpenShift AI 3.4: 1784833428 < *, 1787002057 < *
After
See the vendor and CVE records for the affected range. · Fixed: Red Hat OpenShift AI 2.25: 1785189332 < *, 1788182334 < *; Red Hat OpenShift AI 3.3: 1785187936 < *; Red Hat OpenShift AI 3.4: 1784833428 < *, 1787002057 < *
Affected versionsThe structured affected or fixed version information changed.
Before
Fixed: registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:45082ad3797b2c3c3fdf9111b462e5bcbbba077f3450e37831de1f590197239c_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:761109d79279873a26f72108c0da78901920bfdb3a0fb2a808e1b83f7b61f8c7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:c76046c03d7ecfed750ceb8a58c5e51f04f0b46b6c8ba473233d1dc54d646b1d_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:5458629cd0e8d2a3fc50403c3c7f7f789a1e4695771aa6fe2de79e6609a16121_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:abdbd12b164305bb687eea036d4c6d799434dcce6a6579d54cb66ec1459db9f8_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:b75512bc1ef0d56f7d7f3b2f2551f2ab9e246c804d60b5275d24be4992707cdd_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:0f03176447cd2236bb993f8a949e7dff3fbc696cf4fcf3d73bbe8f71932608c3_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:201cc48366e9650b4524b83352e72289bf62235a7ab9aa2903eb4ebee2ae83ee_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:311838115836610e249c0e8994c07f31b73f2006945da38f0f992f87753891c7_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:5fa73ac9806750dba8388a9b3087f44d3cc82f015e620defd84f2adfe0301d50_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:df6a90d8daf4cf1e72da37742e77f47628842c0ec9d8134a2831ff9f22119cbd_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:ff7949a0e9c7e53332ef5b66d56b195b5857cb565cf7c77db7e371dc583b4f74_amd64 as a component of Red Hat OpenShift AI 3.4
After
Fixed: registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:45082ad3797b2c3c3fdf9111b462e5bcbbba077f3450e37831de1f590197239c_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:6f77fcdf0e5f77c142c3695875a636fa51b338f422c01eb76f525825bc9eee63_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:761109d79279873a26f72108c0da78901920bfdb3a0fb2a808e1b83f7b61f8c7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:c76046c03d7ecfed750ceb8a58c5e51f04f0b46b6c8ba473233d1dc54d646b1d_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:e0d085c660c39b702db988fc8822b913da8a801525c0fd5896de174a15213c7c_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:e910488975b28286d1e38ead00be371fcc0a678e9f1246e2db9f70d41dbeabc7_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:5458629cd0e8d2a3fc50403c3c7f7f789a1e4695771aa6fe2de79e6609a16121_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:abdbd12b164305bb687eea036d4c6d799434dcce6a6579d54cb66ec1459db9f8_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:b75512bc1ef0d56f7d7f3b2f2551f2ab9e246c804d60b5275d24be4992707cdd_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:0f03176447cd2236bb993f8a949e7dff3fbc696cf4fcf3d73bbe8f71932608c3_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:201cc48366e9650b4524b83352e72289bf62235a7ab9aa2903eb4ebee2ae83ee_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:311838115836610e249c0e8994c07f31b73f2006945da38f0f992f87753891c7_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:5fa73ac9806750dba8388a9b3087f44d3cc82f015e620defd84f2adfe0301d50_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:df6a90d8daf4cf1e72da37742e77f47628842c0ec9d8134a2831ff9f22119cbd_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9@sha256:ff7949a0e9c7e53332ef5b66d56b195b5857cb565cf7c77db7e371dc583b4f74_amd64 as a component of Red Hat OpenShift AI 3.4
Affected versionsThe structured affected or fixed version information changed.
Before
See the vendor and CVE records for the affected range. · Fixed: 1785189332 < *; 1788182334 < *; 1785187936 < *; 1784833428 < *; 1787002057 < *
After
See the vendor and CVE records for the affected range. · Fixed: Red Hat OpenShift AI 2.25: 1785189332 < *; Red Hat OpenShift AI 3.3: 1785187936 < *; Red Hat OpenShift AI 3.4: 1784833428 < *, 1787002057 < *
Technical terms and abbreviations used in this report
CVE
Common Vulnerabilities and Exposures: the public identifier for one disclosed vulnerability.
CVSS
Common Vulnerability Scoring System: a technical severity framework; it is not patching priority by itself.
EPSS
Exploit Prediction Scoring System: FIRST's estimate of the probability that exploitation activity will be observed in the next 30 days; it is a forecast, not confirmation.
CWE
Common Weakness Enumeration: the standard category describing the underlying software or hardware weakness.
CNA
CVE Numbering Authority: an organisation authorised to assign and publish CVE records.
CISA ADP
Cybersecurity and Infrastructure Security Agency Authorized Data Publisher: structured enrichment added to a CVE record.
NVD
National Vulnerability Database: NIST's enrichment service for CVE records.
CERT / CSIRT
A computer security incident response team that publishes warnings or coordinates incident response.
PoC
Proof of concept: public material that demonstrates or helps reproduce exploitation.
CSAF
Common Security Advisory Framework: a machine-readable format for security advisories.
LoTL
Living off the land: abuse of legitimate tools or system functions during an attack.