RHSA-2026:70047
Vulnerability from csaf_redhat - Published: 2026-09-22 10:10 - Updated: 2026-09-28 23:56Summary
Red Hat Security Advisory: OpenShift Virtualization v4.12 Images
Severity
Moderate
Notes
Topic: Red Hat OpenShift Virtualization release v4.12 is now available with updates to packages and images that fix several bugs and add enhancements.
Details: OpenShift Virtualization is Red Hat's virtualization solution designed for Red Hat OpenShift Container Platform.
This advisory contains OpenShift Virtualization v4.12 images.
Terms of Use: This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original.
A flaw was found in js-yaml, a JavaScript YAML parser. An attacker can exploit this by providing a specially crafted YAML document that causes the parser to perform excessive processing when handling merge keys with empty sources. This can lead to prolonged CPU consumption, effectively causing a denial of service (DoS) for applications that process untrusted YAML input.
7.5 (High)
Affected products
Fixed
1 product
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Container Native Virtualization 4.12:registry.redhat.io/container-native-virtualization/kubevirt-console-plugin@sha256:63023bc9a5fc486c8ddcb570480d625667b7de25ecde4f224521b1fe82f8574f_amd64 | — |
Vendor Fix
fix
|
Threats
Impact
Moderate
References
15 references
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"text": "A flaw was found in js-yaml, a JavaScript YAML parser. An attacker can exploit this by providing a specially crafted YAML document that causes the parser to perform excessive processing when handling merge keys with empty sources. This can lead to prolonged CPU consumption, effectively causing a denial of service (DoS) for applications that process untrusted YAML input.",
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"text": "js-yaml: js-yaml: Denial of Service vulnerability in YAML parsing",
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"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
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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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