argoproj/argo-workflows is vulnerable to RCE via ZipSlip and symbolic links
argoproj · argo-workflows
Official source article: GitHub GHSA-XRQC-7XGX-C9VH ↗. Check the applicable product and release in the original source.
8.1HighCVSS 3.1
Recommended action
Within 7 days
High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
These OSV and GitHub advisory ranges apply only to the named package and ecosystem. A listed fixed version is not a universal product patch or proof that an update is installed.
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-2025-66626 · CSAF 2.0 · revision 3 · finalRed Hat Product Securitygithub.com/argoproj/argo-workflows: argoproj/argo-workflows is vulnerable to RCE via ZipSlip and symbolic links
72 fixed
The vendor explicitly identifies these products or versions as containing the fix.
registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel8@sha256:fd02f0f70e38c947cdc307be3d9660f87262d92c5a361fa1bf68f24a72c91476_amd64 as a component of Red Hat OpenShift AI 2.16
registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel8@sha256:4e77720ec7972239d2b5198afc01ebd5dd777a1f75c2d19dbfeeb44f7adf729c_amd64 as a component of Red Hat OpenShift AI 2.16
registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:42f631d436d62d7399ca3ef8fd89a334c7839823c8e6ffafe2cdd32ee36493bb_amd64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:56615395c62e26f3ef9bd267c0d5245331b8c67508df4bd8bbc83d72c4ef3b99_arm64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:84a87320bee17439c05d2c6a1edf3b7e83b2f7ebfdd850399d12635e58da4d55_ppc64le as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:873dbf82b3b38ae1518019c143e403bed9dc1ecac199f850edff82b2b0f95231_amd64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:c8fba2ae05c577c06c90364b6d94d92d5470c3150f07c001bbdfed40707220e2_arm64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:f7933e6dc10f8169ae87369a3ff62bee34d43d8d1c838f7ae833d0908d54a45d_ppc64le as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:04a821296c01da5155ab36d9381b962866c26e9c7516f321ffe440b7fa13b4c5_amd64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:33aaad4cc22d1e2998e4710cc644f4032bec8f140e5236fdc83d520a869626ef_arm64 as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:36e001b965f7eebd64b872def5c57231de0819469d7a26ea86df744f28c2785a_ppc64le as a component of Red Hat OpenShift AI 2.25
registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:81ce7ecaafd32d352a24ac27dafd6afba1f124f734df7c4fa1864b757759a6bc_arm64 as a component of Red Hat OpenShift AI 2.25
Summary
A path traversal and arbitrary file overwrite vulnerability has been identified in Argo Workflows during the extraction of archived artifacts, where symbolic links inside a crafted archive are not safely validated before file extraction. An attacker could exploit this flaw by submitting a malicious archive containing symbolic links that point outside the intended extraction directory, causing files to be written or overwritten in unintended locations within the workflow pod. Successful exploitation may allow an attacker to overwrite execution control files and achieve arbitrary command execution during pod startup.
Remediation
For Red Hat OpenShift AI 2.16.4 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-2025-202177
No EUVD known-exploited evidence
ENISA has published the identifier mapping but no EUVD description has been stored yet.
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
Not supplied in the stored EUVD record
Advisory evidence
No linked advisory details stored yet
Recommended actionWithin 7 days
High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
Patch available
01
What, why and how
Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Versions 3.6.13 and below and versions 3.7.0 through 3.7.4, contain unsafe untar code that handles symbolic links in archives. Concretely, the computation of a link's target and the subsequent check are flawed. An attacker can overwrite the file /var/run/argo/argoexec with a script of their choice, which would be executed at the pod's start. The patch deployed against CVE-2025-62156 is ineffective against malicious archives containing symbolic links. This issue is fixed in versions 3.6.14 and 3.7.5.
What
Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Versions 3.6.13 and below and versions 3.7.0 through 3.7.4, contain unsafe untar code that handles symbolic links in archives. Concretely, the computation of a link's target and the subsequent check are flawed. An attacker can overwrite the file /var/run/argo/argoexec with a script of their choice, which would be executed at the pod's start. The patch deployed against CVE-2025-62156 is ineffective against malicious archives containing symbolic links. This issue is fixed in versions 3.6.14 and 3.7.5.
Why
The product uses external input to construct a pathname that should be within a restricted directory, but it does not properly neutralize sequences such as .. that can resolve to a location that is outside of that directory.
How
An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
What
Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Versions 3.6.13 and below and versions 3.7.0 through 3.7.4, contain unsafe untar code that handles symbolic links in archives. Concretely, the computation of a link's target and the subsequent check are flawed. An attacker can overwrite the file /var/run/argo/argoexec with a script of their choice, which would be executed at the pod's start. The patch deployed against CVE-2025-62156 is ineffective against malicious archives containing symbolic links. This issue is fixed in versions 3.6.14 and 3.7.5.
Why
The product uses external input to construct a pathname that should be within a restricted directory, but it does not properly neutralize sequences such as .. that can resolve to a location that is outside of that directory.
How
An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
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.Reference recorded
A structured CVE source labels at least one public reference as exploit material. BlackTree has not independently validated that it is safe, reliable or weaponised.
Likely attack path
a network path → Relative Path Traversal → cause the confidentiality, integrity or availability impact described by the vendor
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-23: Relative Path Traversal. The product uses external input to construct a pathname that should be within a restricted directory, but it does not properly neutralize sequences such as .. that can resolve to a location that is outside of that directory.
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:N/I:H/A:H
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.CNoneConfidentiality impact: No direct loss is represented by this metric.IHighIntegrity impact: A successful attack can cause a major loss.AHighAvailability impact: A successful attack can cause a major loss.
Post-exploitation / living off the land
No specific living-off-the-land technique is confirmed in the structured sources. Monitor normal administration tools for activity inconsistent with the affected service's baseline.
NetworkCWE-23Public exploit reference
A
Official authority intelligence
Only matched European and national findings are included. Language selectors and unavailable sources are omitted.
Official EUVD record ↗Cyber Security Agency of Singapore · English · CSA-SB-20251210Security Bulletin 10 Dec 2025
The Cyber Security Agency of Singapore included this CVE in its official Security Bulletin 10 Dec 2025, published on 10 December 2025. Open the linked bulletin for the product, severity and reference information published in that issue.
Official advisory ↗JVN iPedia · Japanese · JVNDB-2025-025692Argo Project AuthorsのArgo Workflowsにおける複数の脆弱性
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 2.16.4 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 9 Dec 2025 · Last source change 12 Dec 2025, 20:36 UTC · CWE-23 · Relative Path Traversal
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-2025-202177
Product sourceCNA
Remediation sourceVendor CSAF · Red Hat Product Security
CWE sourceCNA
NVD statusNVD enriched
Core structured fields are present and their contributing authorities are shown above.
Affected versionsThe structured affected or fixed version information changed.
Before
Fixed: registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel8@sha256:fd02f0f70e38c947cdc307be3d9660f87262d92c5a361fa1bf68f24a72c91476_amd64 as a component of Red Hat OpenShift AI 2.16; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel8@sha256:4e77720ec7972239d2b5198afc01ebd5dd777a1f75c2d19dbfeeb44f7adf729c_amd64 as a component of Red Hat OpenShift AI 2.16; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:42f631d436d62d7399ca3ef8fd89a334c7839823c8e6ffafe2cdd32ee36493bb_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:56615395c62e26f3ef9bd267c0d5245331b8c67508df4bd8bbc83d72c4ef3b99_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:84a87320bee17439c05d2c6a1edf3b7e83b2f7ebfdd850399d12635e58da4d55_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:873dbf82b3b38ae1518019c143e403bed9dc1ecac199f850edff82b2b0f95231_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:c8fba2ae05c577c06c90364b6d94d92d5470c3150f07c001bbdfed40707220e2_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:f7933e6dc10f8169ae87369a3ff62bee34d43d8d1c838f7ae833d0908d54a45d_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:04a821296c01da5155ab36d9381b962866c26e9c7516f321ffe440b7fa13b4c5_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:33aaad4cc22d1e2998e4710cc644f4032bec8f140e5236fdc83d520a869626ef_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:36e001b965f7eebd64b872def5c57231de0819469d7a26ea86df744f28c2785a_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:81ce7ecaafd32d352a24ac27dafd6afba1f124f734df7c4fa1864b757759a6bc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:af3fa2677f47b424b7e8712505ef30e7ead5c445c77bc32360c4ff5c2ea24b93_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:d2cb739f949dc4ec9617bb9470a8482a8011077043e06e735ab0c9d7d1cac381_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:468cd1ec5882a82f2e3d7a0c5634d80bc272908703194e5950e3eebf5b2f6b54_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:5bd1065dca1978c49c0143e2be4e921465c6a67fa786ab2a9254f0790259096e_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:80da179d8cc59245c6424ebe7bc4b25fd23bb9c83a71c1d22b3b4ee5d5a7b37a_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:8b34aaf5a7729ef1ccd01f2b1b1e3439b304343f3403de67f68255015206fbf4_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:ade80e2ecb6fa56c20539e11677c29e57a1e20b5ce60f8414fd8ff3e83c9bc28_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:be7d70ba27a9c09b4fb4e6bae222f7e58cb3c813407d5a9dd3219a4a82cb55b0_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:3439c67a60c8323eb88f0181e8f811e5bdd7b51169f8b8cc687ab2148d1bfabe_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:52f55f3225d0f4d0f7ea2017f5138344cf9f206398546ce8e1598764111935a4_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:820fd80dbce2d9d9cdf38989ce84ee5601e862786a732ad108fc319e28131944_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:91add789382d1e87ef73f6df4275e0dea8d24330a785c99c5292832341ad5266_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:b9d03b00198d04bee1f7c5f83f90f556c7eab3a462a926d7170bedc7a22b7520_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:d9a6959a71074ffc5ec0fa324af389fbd8277efbd22a827cef8a439b18cd2bcf_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:67deadc75f0552f04b3815ba81615edfa7909e03b1505cf74c315db6e5a8ca76_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:8e9dbdc213745aa0990f47e50b1d899ac2121951b9346420131d76cc393a493a_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:95ca9b1ecee8f11d6edabd7af76f60d2987df91d11fd0fb4c6578df735717422_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:bef83517710b3137f5004c13870c6af61f4e6c78dc81a7f2cfe2ffa1dd46c524_ppc64le as a component of Red Hat OpenShift AI 2.25; and 38 more
After
Fixed: registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel8@sha256:fd02f0f70e38c947cdc307be3d9660f87262d92c5a361fa1bf68f24a72c91476_amd64 as a component of Red Hat OpenShift AI 2.16; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel8@sha256:4e77720ec7972239d2b5198afc01ebd5dd777a1f75c2d19dbfeeb44f7adf729c_amd64 as a component of Red Hat OpenShift AI 2.16; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:42f631d436d62d7399ca3ef8fd89a334c7839823c8e6ffafe2cdd32ee36493bb_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:56615395c62e26f3ef9bd267c0d5245331b8c67508df4bd8bbc83d72c4ef3b99_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:84a87320bee17439c05d2c6a1edf3b7e83b2f7ebfdd850399d12635e58da4d55_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:873dbf82b3b38ae1518019c143e403bed9dc1ecac199f850edff82b2b0f95231_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:c8fba2ae05c577c06c90364b6d94d92d5470c3150f07c001bbdfed40707220e2_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:f7933e6dc10f8169ae87369a3ff62bee34d43d8d1c838f7ae833d0908d54a45d_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:04a821296c01da5155ab36d9381b962866c26e9c7516f321ffe440b7fa13b4c5_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:33aaad4cc22d1e2998e4710cc644f4032bec8f140e5236fdc83d520a869626ef_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:36e001b965f7eebd64b872def5c57231de0819469d7a26ea86df744f28c2785a_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:81ce7ecaafd32d352a24ac27dafd6afba1f124f734df7c4fa1864b757759a6bc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:af3fa2677f47b424b7e8712505ef30e7ead5c445c77bc32360c4ff5c2ea24b93_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:d2cb739f949dc4ec9617bb9470a8482a8011077043e06e735ab0c9d7d1cac381_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:468cd1ec5882a82f2e3d7a0c5634d80bc272908703194e5950e3eebf5b2f6b54_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:5bd1065dca1978c49c0143e2be4e921465c6a67fa786ab2a9254f0790259096e_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:80da179d8cc59245c6424ebe7bc4b25fd23bb9c83a71c1d22b3b4ee5d5a7b37a_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:8b34aaf5a7729ef1ccd01f2b1b1e3439b304343f3403de67f68255015206fbf4_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:ade80e2ecb6fa56c20539e11677c29e57a1e20b5ce60f8414fd8ff3e83c9bc28_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:be7d70ba27a9c09b4fb4e6bae222f7e58cb3c813407d5a9dd3219a4a82cb55b0_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:3439c67a60c8323eb88f0181e8f811e5bdd7b51169f8b8cc687ab2148d1bfabe_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:52f55f3225d0f4d0f7ea2017f5138344cf9f206398546ce8e1598764111935a4_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:820fd80dbce2d9d9cdf38989ce84ee5601e862786a732ad108fc319e28131944_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:91add789382d1e87ef73f6df4275e0dea8d24330a785c99c5292832341ad5266_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:b9d03b00198d04bee1f7c5f83f90f556c7eab3a462a926d7170bedc7a22b7520_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:d9a6959a71074ffc5ec0fa324af389fbd8277efbd22a827cef8a439b18cd2bcf_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:67deadc75f0552f04b3815ba81615edfa7909e03b1505cf74c315db6e5a8ca76_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:8e9dbdc213745aa0990f47e50b1d899ac2121951b9346420131d76cc393a493a_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:95ca9b1ecee8f11d6edabd7af76f60d2987df91d11fd0fb4c6578df735717422_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:bef83517710b3137f5004c13870c6af61f4e6c78dc81a7f2cfe2ffa1dd46c524_ppc64le as a component of Red Hat OpenShift AI 2.25; and 42 more
Affected versionsThe structured affected or fixed version information changed.
Before
github.com/argoproj/argo-workflows/v3 >= 3.7.0, < 3.7.5; github.com/argoproj/argo-workflows/v3 < 3.6.14; github.com/argoproj/argo-workflows <= 2.5.3-rc4 · Fixed: An authoritative update reference is available, but the fixed version is not recorded in the structured CVE fields. Check the linked vendor advisory for the applicable release.
After
github.com/argoproj/argo-workflows/v3 >= 3.7.0, < 3.7.5; github.com/argoproj/argo-workflows/v3 < 3.6.14; github.com/argoproj/argo-workflows <= 2.5.3-rc4 · Fixed: For Red Hat OpenShift AI 2.16.4 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/
Affected versionsThe structured affected or fixed version information changed.
Before
Fixed: registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel8@sha256:fd02f0f70e38c947cdc307be3d9660f87262d92c5a361fa1bf68f24a72c91476_amd64 as a component of Red Hat OpenShift AI 2.16; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel8@sha256:4e77720ec7972239d2b5198afc01ebd5dd777a1f75c2d19dbfeeb44f7adf729c_amd64 as a component of Red Hat OpenShift AI 2.16; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:42f631d436d62d7399ca3ef8fd89a334c7839823c8e6ffafe2cdd32ee36493bb_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:56615395c62e26f3ef9bd267c0d5245331b8c67508df4bd8bbc83d72c4ef3b99_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:84a87320bee17439c05d2c6a1edf3b7e83b2f7ebfdd850399d12635e58da4d55_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:873dbf82b3b38ae1518019c143e403bed9dc1ecac199f850edff82b2b0f95231_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:c8fba2ae05c577c06c90364b6d94d92d5470c3150f07c001bbdfed40707220e2_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:f7933e6dc10f8169ae87369a3ff62bee34d43d8d1c838f7ae833d0908d54a45d_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:04a821296c01da5155ab36d9381b962866c26e9c7516f321ffe440b7fa13b4c5_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:33aaad4cc22d1e2998e4710cc644f4032bec8f140e5236fdc83d520a869626ef_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:36e001b965f7eebd64b872def5c57231de0819469d7a26ea86df744f28c2785a_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:81ce7ecaafd32d352a24ac27dafd6afba1f124f734df7c4fa1864b757759a6bc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:af3fa2677f47b424b7e8712505ef30e7ead5c445c77bc32360c4ff5c2ea24b93_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:d2cb739f949dc4ec9617bb9470a8482a8011077043e06e735ab0c9d7d1cac381_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:468cd1ec5882a82f2e3d7a0c5634d80bc272908703194e5950e3eebf5b2f6b54_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:5bd1065dca1978c49c0143e2be4e921465c6a67fa786ab2a9254f0790259096e_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:80da179d8cc59245c6424ebe7bc4b25fd23bb9c83a71c1d22b3b4ee5d5a7b37a_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:8b34aaf5a7729ef1ccd01f2b1b1e3439b304343f3403de67f68255015206fbf4_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:ade80e2ecb6fa56c20539e11677c29e57a1e20b5ce60f8414fd8ff3e83c9bc28_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:be7d70ba27a9c09b4fb4e6bae222f7e58cb3c813407d5a9dd3219a4a82cb55b0_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:3439c67a60c8323eb88f0181e8f811e5bdd7b51169f8b8cc687ab2148d1bfabe_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:52f55f3225d0f4d0f7ea2017f5138344cf9f206398546ce8e1598764111935a4_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:820fd80dbce2d9d9cdf38989ce84ee5601e862786a732ad108fc319e28131944_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:91add789382d1e87ef73f6df4275e0dea8d24330a785c99c5292832341ad5266_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:b9d03b00198d04bee1f7c5f83f90f556c7eab3a462a926d7170bedc7a22b7520_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:d9a6959a71074ffc5ec0fa324af389fbd8277efbd22a827cef8a439b18cd2bcf_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:67deadc75f0552f04b3815ba81615edfa7909e03b1505cf74c315db6e5a8ca76_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:8e9dbdc213745aa0990f47e50b1d899ac2121951b9346420131d76cc393a493a_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:95ca9b1ecee8f11d6edabd7af76f60d2987df91d11fd0fb4c6578df735717422_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:bef83517710b3137f5004c13870c6af61f4e6c78dc81a7f2cfe2ffa1dd46c524_ppc64le as a component of Red Hat OpenShift AI 2.25; and 35 more
After
Fixed: registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel8@sha256:fd02f0f70e38c947cdc307be3d9660f87262d92c5a361fa1bf68f24a72c91476_amd64 as a component of Red Hat OpenShift AI 2.16; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel8@sha256:4e77720ec7972239d2b5198afc01ebd5dd777a1f75c2d19dbfeeb44f7adf729c_amd64 as a component of Red Hat OpenShift AI 2.16; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:42f631d436d62d7399ca3ef8fd89a334c7839823c8e6ffafe2cdd32ee36493bb_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:56615395c62e26f3ef9bd267c0d5245331b8c67508df4bd8bbc83d72c4ef3b99_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:84a87320bee17439c05d2c6a1edf3b7e83b2f7ebfdd850399d12635e58da4d55_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:873dbf82b3b38ae1518019c143e403bed9dc1ecac199f850edff82b2b0f95231_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:c8fba2ae05c577c06c90364b6d94d92d5470c3150f07c001bbdfed40707220e2_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9@sha256:f7933e6dc10f8169ae87369a3ff62bee34d43d8d1c838f7ae833d0908d54a45d_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:04a821296c01da5155ab36d9381b962866c26e9c7516f321ffe440b7fa13b4c5_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:33aaad4cc22d1e2998e4710cc644f4032bec8f140e5236fdc83d520a869626ef_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:36e001b965f7eebd64b872def5c57231de0819469d7a26ea86df744f28c2785a_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:81ce7ecaafd32d352a24ac27dafd6afba1f124f734df7c4fa1864b757759a6bc_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:af3fa2677f47b424b7e8712505ef30e7ead5c445c77bc32360c4ff5c2ea24b93_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-data-science-pipelines-argo-workflowcontroller-rhel9@sha256:d2cb739f949dc4ec9617bb9470a8482a8011077043e06e735ab0c9d7d1cac381_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:468cd1ec5882a82f2e3d7a0c5634d80bc272908703194e5950e3eebf5b2f6b54_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:5bd1065dca1978c49c0143e2be4e921465c6a67fa786ab2a9254f0790259096e_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:80da179d8cc59245c6424ebe7bc4b25fd23bb9c83a71c1d22b3b4ee5d5a7b37a_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:8b34aaf5a7729ef1ccd01f2b1b1e3439b304343f3403de67f68255015206fbf4_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:ade80e2ecb6fa56c20539e11677c29e57a1e20b5ce60f8414fd8ff3e83c9bc28_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-api-server-v2-rhel9@sha256:be7d70ba27a9c09b4fb4e6bae222f7e58cb3c813407d5a9dd3219a4a82cb55b0_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:3439c67a60c8323eb88f0181e8f811e5bdd7b51169f8b8cc687ab2148d1bfabe_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:52f55f3225d0f4d0f7ea2017f5138344cf9f206398546ce8e1598764111935a4_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:820fd80dbce2d9d9cdf38989ce84ee5601e862786a732ad108fc319e28131944_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:91add789382d1e87ef73f6df4275e0dea8d24330a785c99c5292832341ad5266_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:b9d03b00198d04bee1f7c5f83f90f556c7eab3a462a926d7170bedc7a22b7520_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-driver-rhel9@sha256:d9a6959a71074ffc5ec0fa324af389fbd8277efbd22a827cef8a439b18cd2bcf_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:67deadc75f0552f04b3815ba81615edfa7909e03b1505cf74c315db6e5a8ca76_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:8e9dbdc213745aa0990f47e50b1d899ac2121951b9346420131d76cc393a493a_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:95ca9b1ecee8f11d6edabd7af76f60d2987df91d11fd0fb4c6578df735717422_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-ml-pipelines-launcher-rhel9@sha256:bef83517710b3137f5004c13870c6af61f4e6c78dc81a7f2cfe2ffa1dd46c524_ppc64le as a component of Red Hat OpenShift AI 2.25; and 38 more
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.