CVE-2026-18620
Data-sciences-pipeline: user-controlled serviceaccount for workflow pods without authorization check — confused deputy
- Published
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
CISA's decision points: whether it is exploited, whether attacks can be automated, and how much control an attacker gets. Assessed (SSVC 2.0.3).What do these mean? →
- Exploitation: none
- Automatable: no
- Technical impact: partial
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.
Timeline
- CVE published
- CISA SSVC assessment
Exploitation: none · Automatable: no · Technical impact: partial
- Record last updated
Affected versions
- rhoai/odh-ml-pipelines-api-server-v2-rhel9
Version range not reported
- rhoai/odh-ml-pipelines-api-server-v2-rhel9
Version range not reported
- rhoai/odh-ml-pipelines-api-server-v2-rhel9
Version range not reported
- rhoai/odh-ml-pipelines-api-server-v2-rhel9
Version range not reported
- rhoai/odh-ml-pipelines-api-server-v2-rhel9
Version range not reported
- rhoai/odh-latency-predictor-prediction-rhel9
Version range not reported
- rhoai/odh-latency-predictor-training-rhel9
Version range not reported