Published severityHigh→Operational priority:High, unchanged from published severity.unchanged
Evidence used
No CISA KEV confirmation is currently recorded.
EPSS is 0.48% 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.
1 current
CVE-2026-18620 · CSAF 2.0 · revision 3 · finalRed Hat Product Securitydata-sciences-pipeline: User-controlled ServiceAccount for workflow pods without authorization check — confused deputy
19 fixed
The vendor explicitly identifies these products or versions as containing the fix.
registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:0fdc2c86bf246e38d3868b51eed906b51b547ecd81be9fa411467dd43259b61d_arm64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:36d3efef0608b082c6a9c6cc2b5aa5609cac6ef44384cced9afb0b8cb5768ebe_ppc64le as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:511fca03bc7fcd5c7d19dfe5a46d32a19e94cbbf7bf9f18acdbba2475299b276_amd64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:7f01c239d0a86d5058d6b22b7f3786820ec02f5e2c1b291f0467dae97bf8bd74_ppc64le as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:e159dea31e18f6158705630e86600261da9309bef91123857997a4fb011272ef_amd64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:e902a7b42c3dd54fd03860f8c7f64daa2907490b8ef47cccfa5731adb74645d9_arm64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:9643841faecbb35e8ef794bdc534226f04ba365f43c6534457fcd3d7f5bb4ccb_ppc64le as a component of Red Hat OpenShift AI 3.3
registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:969590770e44cb3f523002c343b571487658b0ad58d5c32fa59f51371a13d8cc_amd64 as a component of Red Hat OpenShift AI 3.3
registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:99f2d6c8b6f7031db41fa4065e78c3915dbca68bb136ca76e66b50fb622f880f_arm64 as a component of Red Hat OpenShift AI 3.3
registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:503aec02d8f8068d0811c3c90b982b46641c158a4d8a3f118b8a5caadd749fa0_arm64 as a component of Red Hat OpenShift AI 3.4
registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:86262dc03830f0a22600cddd84b48a35040270e54442acf1857e747283f63899_amd64 as a component of Red Hat OpenShift AI 3.4
registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:8eeec5121ae76161f65131a6258b69e3139f03d1f28b315985cc462c59649d0c_ppc64le as a component of Red Hat OpenShift AI 3.4
Summary
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.
Remediation
For Red Hat OpenShift AI 2.25.11 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-2026-55826
No EUVD known-exploited evidence
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.
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
7.1 · 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 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.
What
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.
Why
The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data.
How
An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may execute code or commands in the affected security context.
What
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.
Why
The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data.
How
An attacker operating through a network path may attempt exploitation with low 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 → Authorization Bypass Through User-Controlled Key → execute code or commands in the affected security context
Attack surface
Network
Privileges required
Low: a basic authenticated account is required
User interaction
None
Attack complexity
Low: no specialised conditions are recorded
Security boundary
Unchanged: impact remains within the vulnerable component's security authority
Weakness ?CWE means Common Weakness Enumeration: a standard category for the underlying weakness.
CWE-639: Authorization Bypass Through User-Controlled Key. The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data.
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:L/UI:N/S:U/C:H/I:L/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.PRLowPrivileges required: The attacker needs basic user-level privileges.UINoneUser interaction: No action by another user is required.SUnchangedScope: The security impact remains within the vulnerable component's authority.CHighConfidentiality impact: A successful attack can cause a major loss.ILowIntegrity impact: A successful attack can cause a limited 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.
Only matched European and national findings are included. Language selectors and unavailable sources are omitted.
ENISA EUVD · EUVD-2026-55826Official EUVD mapping
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.
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 2.25.11 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, 11:27 UTC · CWE-639 · Authorization Bypass Through User-Controlled Key
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-2026-55826
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: 1785189934 < *, 1788256711 < *; Red Hat OpenShift AI 3.3: 1785187920 < *; Red Hat OpenShift AI 3.4: 1784924951 < *, 1787173417 < *
After
See the vendor and CVE records for the affected range. · Fixed: Red Hat OpenShift AI 2.25: 1785189934 < *, 1788256711 < *; Red Hat OpenShift AI 3.3: 1785187920 < *; Red Hat OpenShift AI 3.4: 1784924951 < *, 1787173417 < *; Red Hat OpenShift AI 3.5: 1786552271 < *, 1786552250 < *
Affected versionsThe structured affected or fixed version information changed.
Before
Fixed: registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:0fdc2c86bf246e38d3868b51eed906b51b547ecd81be9fa411467dd43259b61d_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:36d3efef0608b082c6a9c6cc2b5aa5609cac6ef44384cced9afb0b8cb5768ebe_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:511fca03bc7fcd5c7d19dfe5a46d32a19e94cbbf7bf9f18acdbba2475299b276_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:7f01c239d0a86d5058d6b22b7f3786820ec02f5e2c1b291f0467dae97bf8bd74_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:e159dea31e18f6158705630e86600261da9309bef91123857997a4fb011272ef_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:e902a7b42c3dd54fd03860f8c7f64daa2907490b8ef47cccfa5731adb74645d9_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:9643841faecbb35e8ef794bdc534226f04ba365f43c6534457fcd3d7f5bb4ccb_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:969590770e44cb3f523002c343b571487658b0ad58d5c32fa59f51371a13d8cc_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:99f2d6c8b6f7031db41fa4065e78c3915dbca68bb136ca76e66b50fb622f880f_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:503aec02d8f8068d0811c3c90b982b46641c158a4d8a3f118b8a5caadd749fa0_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:86262dc03830f0a22600cddd84b48a35040270e54442acf1857e747283f63899_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:8eeec5121ae76161f65131a6258b69e3139f03d1f28b315985cc462c59649d0c_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:ce7c7776991e2b2d3a29377f6641d1545ef373e88359debd1c734173cfac9f8a_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:ef4265bef566e8d04f01dfd15ddd5bb1f36468a48819d0e69041161494383a88_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:f978043153e91cfbbac35fe964a664fa975ded29ee9fcce0b6b30ad8faffa2a5_amd64 as a component of Red Hat OpenShift AI 3.4
After
Fixed: registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:0fdc2c86bf246e38d3868b51eed906b51b547ecd81be9fa411467dd43259b61d_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:36d3efef0608b082c6a9c6cc2b5aa5609cac6ef44384cced9afb0b8cb5768ebe_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:511fca03bc7fcd5c7d19dfe5a46d32a19e94cbbf7bf9f18acdbba2475299b276_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:7f01c239d0a86d5058d6b22b7f3786820ec02f5e2c1b291f0467dae97bf8bd74_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:e159dea31e18f6158705630e86600261da9309bef91123857997a4fb011272ef_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:e902a7b42c3dd54fd03860f8c7f64daa2907490b8ef47cccfa5731adb74645d9_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:9643841faecbb35e8ef794bdc534226f04ba365f43c6534457fcd3d7f5bb4ccb_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:969590770e44cb3f523002c343b571487658b0ad58d5c32fa59f51371a13d8cc_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:99f2d6c8b6f7031db41fa4065e78c3915dbca68bb136ca76e66b50fb622f880f_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:503aec02d8f8068d0811c3c90b982b46641c158a4d8a3f118b8a5caadd749fa0_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:86262dc03830f0a22600cddd84b48a35040270e54442acf1857e747283f63899_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:8eeec5121ae76161f65131a6258b69e3139f03d1f28b315985cc462c59649d0c_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:ce7c7776991e2b2d3a29377f6641d1545ef373e88359debd1c734173cfac9f8a_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:ef4265bef566e8d04f01dfd15ddd5bb1f36468a48819d0e69041161494383a88_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:f978043153e91cfbbac35fe964a664fa975ded29ee9fcce0b6b30ad8faffa2a5_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: 1785189934 < *; Red Hat OpenShift AI 3.3: 1785187920 < *; Red Hat OpenShift AI 3.4: 1784924951 < *, 1787173417 < *
After
See the vendor and CVE records for the affected range. · Fixed: Red Hat OpenShift AI 2.25: 1785189934 < *, 1788256711 < *; Red Hat OpenShift AI 3.3: 1785187920 < *; Red Hat OpenShift AI 3.4: 1784924951 < *, 1787173417 < *
Affected versionsThe structured affected or fixed version information changed.
Before
Fixed: registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:36d3efef0608b082c6a9c6cc2b5aa5609cac6ef44384cced9afb0b8cb5768ebe_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:511fca03bc7fcd5c7d19dfe5a46d32a19e94cbbf7bf9f18acdbba2475299b276_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:e902a7b42c3dd54fd03860f8c7f64daa2907490b8ef47cccfa5731adb74645d9_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:9643841faecbb35e8ef794bdc534226f04ba365f43c6534457fcd3d7f5bb4ccb_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:969590770e44cb3f523002c343b571487658b0ad58d5c32fa59f51371a13d8cc_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:99f2d6c8b6f7031db41fa4065e78c3915dbca68bb136ca76e66b50fb622f880f_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:503aec02d8f8068d0811c3c90b982b46641c158a4d8a3f118b8a5caadd749fa0_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:86262dc03830f0a22600cddd84b48a35040270e54442acf1857e747283f63899_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:8eeec5121ae76161f65131a6258b69e3139f03d1f28b315985cc462c59649d0c_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:ce7c7776991e2b2d3a29377f6641d1545ef373e88359debd1c734173cfac9f8a_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:ef4265bef566e8d04f01dfd15ddd5bb1f36468a48819d0e69041161494383a88_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:f978043153e91cfbbac35fe964a664fa975ded29ee9fcce0b6b30ad8faffa2a5_amd64 as a component of Red Hat OpenShift AI 3.4
After
Fixed: registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:0fdc2c86bf246e38d3868b51eed906b51b547ecd81be9fa411467dd43259b61d_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:36d3efef0608b082c6a9c6cc2b5aa5609cac6ef44384cced9afb0b8cb5768ebe_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:511fca03bc7fcd5c7d19dfe5a46d32a19e94cbbf7bf9f18acdbba2475299b276_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:7f01c239d0a86d5058d6b22b7f3786820ec02f5e2c1b291f0467dae97bf8bd74_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:e159dea31e18f6158705630e86600261da9309bef91123857997a4fb011272ef_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:e902a7b42c3dd54fd03860f8c7f64daa2907490b8ef47cccfa5731adb74645d9_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:9643841faecbb35e8ef794bdc534226f04ba365f43c6534457fcd3d7f5bb4ccb_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:969590770e44cb3f523002c343b571487658b0ad58d5c32fa59f51371a13d8cc_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:99f2d6c8b6f7031db41fa4065e78c3915dbca68bb136ca76e66b50fb622f880f_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:503aec02d8f8068d0811c3c90b982b46641c158a4d8a3f118b8a5caadd749fa0_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:86262dc03830f0a22600cddd84b48a35040270e54442acf1857e747283f63899_amd64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:8eeec5121ae76161f65131a6258b69e3139f03d1f28b315985cc462c59649d0c_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:ce7c7776991e2b2d3a29377f6641d1545ef373e88359debd1c734173cfac9f8a_arm64 as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:ef4265bef566e8d04f01dfd15ddd5bb1f36468a48819d0e69041161494383a88_ppc64le as a component of Red Hat OpenShift AI 3.4; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:f978043153e91cfbbac35fe964a664fa975ded29ee9fcce0b6b30ad8faffa2a5_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: 1785189934 < *; 1788256711 < *; 1785187920 < *; 1784924951 < *; 1787173417 < *
After
See the vendor and CVE records for the affected range. · Fixed: Red Hat OpenShift AI 2.25: 1785189934 < *; Red Hat OpenShift AI 3.3: 1785187920 < *; Red Hat OpenShift AI 3.4: 1784924951 < *, 1787173417 < *
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.