CVE-2026-84720 (GCVE-0-2026-84720)
Vulnerability from cvelistv5 – Published: 2026-09-23 19:40 – Updated: 2026-10-16 11:55
VLAI
EPSS
VEX
Title
Automation-controller: automation-controller: workflowjobnode.ancestor_artifacts lacks prevent_search, exposing no_log set_stats artifacts via orm-traversal count-oracle
Summary
A flaw was found in the Ansible Automation Platform automation-controller. The
WorkflowJobNode.ancestor_artifacts database column, which stores the raw merged set_stats
artifacts propagated between workflow nodes, is not wrapped in prevent_search() and is therefore
accepted for arbitrary field lookups by the REST filter backend, even though it is omitted from
the API serializer. Because the column is persisted before Ansible's no_log masking is applied,
a user with only read access to a workflow — or, via a regular-expression lookup that bypasses
the JSON cross-relation filter guard through the world-readable credential-types endpoint, any
authenticated user with no roles — can use the result count as a boolean/count oracle to recover,
character by character, secret values that a playbook author explicitly marked no_log, including
across organizations.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-24 14:30 UTC
CWE
- CWE-639 - Authorization Bypass Through User-Controlled Key
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://access.redhat.com/errata/RHSA-2026:71113 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:71114 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:71177 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:71179 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/security/cve/CVE-2026-84720 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2527214 | issue-trackingx_refsource_REDHAT |
Impacted products
5 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Red Hat | Red Hat Ansible Automation Platform 2.5 for RHEL 8 |
Unaffected:
0:4.6.33-1.el8ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.5::el8 cpe:/a:redhat:ansible_automation_platform:2.5::el9 cpe:/a:redhat:ansible_automation_platform_developer:2.5::el8 cpe:/a:redhat:ansible_automation_platform_developer:2.5::el9 cpe:/a:redhat:ansible_automation_platform_inside:2.5::el8 cpe:/a:redhat:ansible_automation_platform_inside:2.5::el9 |
||
| Red Hat | Red Hat Ansible Automation Platform 2.5 for RHEL 9 |
Unaffected:
0:4.6.33-1.el9ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.5::el8 cpe:/a:redhat:ansible_automation_platform:2.5::el9 cpe:/a:redhat:ansible_automation_platform_developer:2.5::el8 cpe:/a:redhat:ansible_automation_platform_developer:2.5::el9 cpe:/a:redhat:ansible_automation_platform_inside:2.5::el8 cpe:/a:redhat:ansible_automation_platform_inside:2.5::el9 |
||
| Red Hat | Red Hat Ansible Automation Platform 2.6 for RHEL 9 |
Unaffected:
0:4.7.17-1.el9ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el10 cpe:/a:redhat:ansible_automation_platform:2.6::el9 cpe:/a:redhat:ansible_automation_platform_developer:2.6::el10 cpe:/a:redhat:ansible_automation_platform_developer:2.6::el9 cpe:/a:redhat:ansible_automation_platform_inside:2.6::el9 |
||
| Red Hat | Red Hat Ansible Automation Platform 2.6 |
Unaffected:
1789673739 , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
||
| Red Hat | Red Hat Ansible Automation Platform 2.7 |
Unaffected:
1789580684 , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.7::el9 |
Date Public
2026-09-23 00:00
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"packageName": "ansible-automation-platform-27/controller-rhel9",
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}
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},
{
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"time": "2026-09-23T00:00:00.000Z",
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},
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}
}
}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
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.