FKIE_CVE-2026-84721
Vulnerability from fkie_nvd - Published: 2026-09-23 20:17 - Updated: 2026-09-24 07:16
Severity
Summary
A server-side request forgery flaw was found in the Ansible Automation Platform
automation-controller email notification backend. The email backend passes the user-supplied SMTP
host and port from a notification template directly to the SMTP client without validating that
the target is not an internal, loopback, link-local, or reserved address. An authenticated user
with organization notification-admin permission can create or modify an email notification
template pointing at an arbitrary internal address, trigger a test, and have the controller task
process open a raw TCP connection to that address. The resulting connection error is reflected
back through the notification record, providing a three-state internal port-scan oracle (open,
closed, filtered) over the control-plane's cluster network, including the in-cluster Kubernetes
API. When a shared organization template holds a stored SMTP password, redirecting the host can
also cause that credential to be transmitted to an attacker-controlled server.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:ansible_automation_platform:2.7::el9"
],
"defaultStatus": "affected",
"packageName": "ansible-automation-platform-27/controller-rhel9",
"product": "Red Hat Ansible Automation Platform 2.7",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1789580684",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ansible_automation_platform:2"
],
"defaultStatus": "affected",
"packageName": "automation-controller",
"product": "Red Hat Ansible Automation Platform 2",
"vendor": "Red Hat"
}
],
"source": "secalert@redhat.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A server-side request forgery flaw was found in the Ansible Automation Platform\nautomation-controller email notification backend. The email backend passes the user-supplied SMTP\nhost and port from a notification template directly to the SMTP client without validating that\nthe target is not an internal, loopback, link-local, or reserved address. An authenticated user\nwith organization notification-admin permission can create or modify an email notification\ntemplate pointing at an arbitrary internal address, trigger a test, and have the controller task\nprocess open a raw TCP connection to that address. The resulting connection error is reflected\nback through the notification record, providing a three-state internal port-scan oracle (open,\nclosed, filtered) over the control-plane\u0027s cluster network, including the in-cluster Kubernetes\nAPI. When a shared organization template holds a stored SMTP password, redirecting the host can\nalso cause that credential to be transmitted to an attacker-controlled server."
}
],
"id": "CVE-2026-84721",
"lastModified": "2026-09-24T07:16:34.550",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.1,
"impactScore": 2.7,
"source": "secalert@redhat.com",
"type": "Secondary"
}
]
},
"published": "2026-09-23T20:17:18.890",
"references": [
{
"source": "secalert@redhat.com",
"url": "https://access.redhat.com/errata/RHSA-2026:71177"
},
{
"source": "secalert@redhat.com",
"url": "https://access.redhat.com/security/cve/CVE-2026-84721"
},
{
"source": "secalert@redhat.com",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2527220"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "secalert@redhat.com",
"type": "Secondary"
}
]
}
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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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