CVE-2026-18621: Data Science Pipelines (DSP) · CWE-266
Source GCVE Database
Not known to be exploited · CVSS 7.6 High : patch Red Hat OpenShift AI 2.25 soon.
Data as of 11 Nov 2026, 23:24 UTC
- EPSS
- 0.5% chance of exploitation in 30 days – higher than 44% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:LExploitation evidence
Disclosed: evidence found.
CVE published 10 Aug 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 11 Nov 2026.
What to do
Patches and advisories
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Red Hat OpenShift AI 2.25rhoai/odh-ml-pipelines-api-server-v2-rhel9 | Affected– | Fixed in– |
| Red Hat OpenShift AI 2.25rhoai/odh-ml-pipelines-api-server-v2-rhel9 | Affected– | Fixed in– |
| Red Hat OpenShift AI 3.3rhoai/odh-ml-pipelines-api-server-v2-rhel9 | Affected– | Fixed in– |
| Red Hat OpenShift AI 3.4rhoai/odh-ml-pipelines-api-server-v2-rhel9 | Affected– | Fixed in– |
| Red Hat OpenShift AI 3.4rhoai/odh-ml-pipelines-api-server-v2-rhel9 | Affected– | Fixed in– |
| Red Hat OpenShift AI 3.4rhoai/odh-ml-pipelines-api-server-v2-rhel9 | Affected– | Fixed in– |
AI-suggested
The vendor (Red Hat) has released updated images for Red Hat OpenShift AI that address this vulnerability. Users are advised to upgrade to the fixed versions as documented in the Red Hat advisory and follow the official upgrade instructions to fully apply the errata update. Patch status is confirmed by the vendor advisory. No indication of temporary fixes or workarounds is provided, so applying the official update is the recommended mitigation.
Description
A flaw was found in Data Science Pipelines (DSP). An attacker with namespace editor privileges can bypass security hardening by submitting a malicious Argo Workflow through the V1 API path. This allows the API server to create pods with elevated privileges, acting as a 'confused deputy' on behalf of the attacker. Successful exploitation grants the attacker node-root access, enabling arbitrary code execution and full control over the underlying node.
References
- nvd.nist.gov/vuln/detail/CVE-2026-18621 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:53261 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:53262 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:53263 (opens in a new tab)
- access.redhat.com/security/cve/CVE-2026-18621 (opens in a new tab)
- bugzilla.redhat.com/show_bug.cgi?id=2510327 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:60520 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:65126 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:84734 (opens in a new tab)