FKIE_CVE-2026-19274
Vulnerability from fkie_nvd - Published: 2026-09-04 16:17 - Updated: 2026-09-04 18:17
Severity
Summary
IBM Observability with Instana (Agent) Build 1.0.303 through 1.0.323 IBM Instana Agent Operator could allow an authenticated Kubernetes tenant to hijack or permanently destroy another tenant's cluster-level RBAC permissions, caused by cluster-scoped RBAC objects being keyed solely by the bare CR name with no namespace disambiguation, allowing a same-named `InstanaAgent` CR in an attacker-controlled namespace to silently overwrite the shared `ClusterRoleBinding` or delete it outright and revoke the victim agent's cluster monitoring access.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"cpes": [
"cpe:2.3:a:ibm:observability_with_instana_agent:build:*:*:*:*:*:*:*",
"cpe:2.3:a:ibm:observability_with_instana_agent:1.0.323:*:*:*:*:*:*:*"
],
"product": "Observability with Instana (Agent)",
"vendor": "IBM",
"versions": [
{
"lessThanOrEqual": "1.0.323",
"status": "affected",
"version": "Build 1.0.303",
"versionType": "semver"
}
]
}
],
"source": "psirt@us.ibm.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "IBM Observability with Instana (Agent) Build 1.0.303 through 1.0.323 IBM Instana Agent Operator could allow an authenticated Kubernetes tenant to hijack or permanently destroy another tenant\u0027s cluster-level RBAC permissions, caused by cluster-scoped RBAC objects being keyed solely by the bare CR name with no namespace disambiguation, allowing a same-named `InstanaAgent` CR in an attacker-controlled namespace to silently overwrite the shared `ClusterRoleBinding` or delete it outright and revoke the victim agent\u0027s cluster monitoring access."
}
],
"id": "CVE-2026-19274",
"lastModified": "2026-09-04T18:17:51.260",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.6,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:N/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.1,
"impactScore": 5.8,
"source": "psirt@us.ibm.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-19274",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-04T17:28:42.625868Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-04T16:17:21.650",
"references": [
{
"source": "psirt@us.ibm.com",
"url": "https://www.ibm.com/support/pages/node/7286070"
}
],
"sourceIdentifier": "psirt@us.ibm.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-284"
}
],
"source": "psirt@us.ibm.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.
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.
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