FKIE_CVE-2026-73834
Vulnerability from fkie_nvd - Published: 2026-08-18 16:18 - Updated: 2026-08-18 16:18
Severity
Summary
A flaw was found in the must-gather component of Red Hat Advanced Cluster Management for Kubernetes. Certain ACM wrapper Custom Resources that embed Secret data are collected without redaction. When an administrator runs must-gather, credentials and tokens are captured in cleartext in the resulting archive, potentially exposing sensitive information to anyone with access to the archive.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:acm:2"
],
"defaultStatus": "affected",
"packageName": "rhacm2/acm-must-gather-rhel9",
"product": "Red Hat Advanced Cluster Management for Kubernetes 2",
"vendor": "Red Hat"
}
],
"source": "secalert@redhat.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A flaw was found in the must-gather component of Red Hat Advanced Cluster Management for Kubernetes. Certain ACM wrapper Custom Resources that embed Secret data are collected without redaction. When an administrator runs must-gather, credentials and tokens are captured in cleartext in the resulting archive, potentially exposing sensitive information to anyone with access to the archive."
}
],
"id": "CVE-2026-73834",
"lastModified": "2026-08-18T16:18:17.493",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6,
"source": "secalert@redhat.com",
"type": "Primary"
}
]
},
"published": "2026-08-18T16:18:17.493",
"references": [
{
"source": "secalert@redhat.com",
"url": "https://access.redhat.com/security/cve/CVE-2026-73834"
},
{
"source": "secalert@redhat.com",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2517904"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-312"
}
],
"source": "secalert@redhat.com",
"type": "Primary"
}
]
}
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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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