CVE-2026-92982 (GCVE-0-2026-92982)
Vulnerability from cvelistv5 – Published: 2026-10-15 15:36 – Updated: 2026-10-16 14:19
VLAI
EPSS
VEX
Title
Ansible-operator-plugins: ansible operator plugins: arbitrary code execution via jinja2 template injection
Summary
A flaw was found in Ansible Operator Plugins. A low-privileged Kubernetes user can exploit a Jinja2 template injection vulnerability by crafting malicious custom resource (CR) specification values. These values are processed by Ansible without proper sanitization, allowing embedded Jinja2 expressions to be executed within the operator pod. This can lead to arbitrary code execution and privilege escalation, granting the attacker control over the operator's service account with cluster-wide permissions.
Severity
8.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-16 03:56 UTC
CWE
- CWE-1336 - Improper Neutralization of Special Elements Used in a Template Engine
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://access.redhat.com/security/cve/CVE-2026-92982 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2522227 | issue-trackingx_refsource_REDHAT |
Impacted products
12 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Red Hat | Migration Toolkit for Applications 8 |
cpe:/a:redhat:migration_toolkit_applications:8
|
||
| Red Hat | Migration Toolkit for Containers |
cpe:/a:redhat:rhmt:1
|
||
| Red Hat | Migration Toolkit for Virtualization |
cpe:/a:redhat:migration_toolkit_virtualization:2
|
||
| Red Hat | OpenShift Service Mesh 3 |
cpe:/a:redhat:service_mesh:3
|
||
| Red Hat | Red Hat Advanced Cluster Management for Kubernetes 2 |
cpe:/a:redhat:acm:2
|
||
| Red Hat | Red Hat Ansible Automation Platform 2 |
cpe:/a:redhat:ansible_automation_platform:2
|
||
| Red Hat | Red Hat OpenShift Container Platform 4 |
cpe:/a:redhat:openshift:4
|
||
| Red Hat | Red Hat OpenShift Virtualization 4 |
cpe:/a:redhat:container_native_virtualization:4
|
||
| Red Hat | Red Hat OpenStack Platform 16.2 |
cpe:/a:redhat:openstack:16.2
|
||
| Red Hat | Red Hat OpenStack Platform 17.1 |
cpe:/a:redhat:openstack:17.1
|
||
| Red Hat | Red Hat OpenStack Platform 18.0 |
cpe:/a:redhat:openstack:18.0
|
||
| Red Hat | Service Telemetry Framework 1.5 |
cpe:/a:redhat:stf:1.5
|
Date Public
2026-10-15 13:33
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Sightings
| Author | Source | Type | Date | Other |
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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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.