CVE-2026-92393 (GCVE-0-2026-92393)
Vulnerability from cvelistv5 – Published: 2026-10-07 09:15 – Updated: 2026-10-07 17:52
VLAI
EPSS
VEX
Title
Apache YuniKorn: Admission control bypass via workload UPDATE operation
Summary
Apache YuniKorn 1.9.0 and earlier does not implement label and user annotation checks for workload UPDATE action bypassing all checks. Workloads in YuniKorn are defined as the following Kubernetes objects: "deployments", "replicasets", "statefulsets", "daemonsets", "jobs", "cronjobs". The CREATE action correctly enforces the checks for all object types.
The bypass allows any user to specify an arbitrary user info annotation. The same bypass also allows changing the application ID for the workload. The combination of the two applied in one UPDATE could allow access to a queue that the user normally would not have access to. Quota usage for the queue might be impacted if the application runs in the incorrect queue. User based quota enforcement is also based on the user annotation. User quota tracking could be side stepped even if the application runs in the correct queue.
Users are recommended to upgrade to version 1.10.0, which fixes this issue.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-07 17:52 UTC
CWE
- CWE-863 - Incorrect Authorization
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://lists.apache.org/thread.html/sfo83zlrrx9f… | vendor-advisory |
| http://www.openwall.com/lists/oss-security/2026/1… |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache YuniKorn |
Affected:
0 , < 1.10.0
(semver)
|
guessed |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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