Vulnerability-Lookup

GHSA-227R-2GP9-9MW3

Vulnerability from github – Published: 2026-09-18 18:31 – Updated: 2026-09-18 18:31

Details

A flaw was found in cockpit-machines. This vulnerability allows a local attacker to expose sensitive Virtual Machine (VM) credentials, including plaintext passwords, by inspecting process command-line arguments during VM creation or installation. The cockpit-machines component passes password values directly on the command line, making them visible to other local users on systems where process arguments are not restricted. Successful exploitation leads to information disclosure, potentially compromising VM access.

Severity

5.5 (Medium)


                  
                    CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

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{
  "affected": [],
  "aliases": [
    "CVE-2026-92768"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-214"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-18T18:18:17Z",
    "severity": "MODERATE"
  },
  "details": "A flaw was found in cockpit-machines. This vulnerability allows a local attacker to expose sensitive Virtual Machine (VM) credentials, including plaintext passwords, by inspecting process command-line arguments during VM creation or installation. The cockpit-machines component passes password values directly on the command line, making them visible to other local users on systems where process arguments are not restricted. Successful exploitation leads to information disclosure, potentially compromising VM access.",
  "id": "GHSA-227r-2gp9-9mw3",
  "modified": "2026-09-18T18:31:44Z",
  "published": "2026-09-18T18:31:44Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-92768"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2026-92768"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2469258"
    }
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  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2026-92768 (GCVE-0-2026-92768)

Vulnerability from cvelistv5 – Published: 2026-09-18 17:53 – Updated: 2026-09-18 22:37

Title

Cockpit-machines: cockpit-machines: sensitive data exposure via command-line arguments

Summary

Severity

5.5 (Medium)


                        
                          CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

CWE

CWE-214 - Invocation of Process Using Visible Sensitive Information

Assigner

redhat redhat root

References

2 references

URL	Tags
https://access.redhat.com/security/cve/CVE-2026-92768	vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2469258	issue-trackingx_refsource_REDHAT

Impacted products

2 products

Vendor	Product	Version
Red Hat	Red Hat Enterprise Linux 10	cpe:/o:redhat:enterprise_linux:10
Red Hat	Red Hat Enterprise Linux 9	cpe:/o:redhat:enterprise_linux:9

Date Public

2026-09-18 16:36

Credits

This issue was discovered by Found by AISLE in partnership with Red Hat.

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JSON

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{
  "containers": {
    "cna": {
      "affected": [
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/o:redhat:enterprise_linux:10"
          ],
          "defaultStatus": "affected",
          "packageName": "cockpit-machines",
          "product": "Red Hat Enterprise Linux 10",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/o:redhat:enterprise_linux:9"
          ],
          "defaultStatus": "affected",
          "packageName": "cockpit-machines",
          "product": "Red Hat Enterprise Linux 9",
          "vendor": "Red Hat"
        }
      ],
      "credits": [
        {
          "lang": "en",
          "value": "This issue was discovered by Found by AISLE in partnership with Red Hat."
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      "datePublic": "2026-09-18T16:36:00.000Z",
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          "lang": "en",
          "value": "A flaw was found in cockpit-machines. This vulnerability allows a local attacker to expose sensitive Virtual Machine (VM) credentials, including plaintext passwords, by inspecting process command-line arguments during VM creation or installation. The cockpit-machines component passes password values directly on the command line, making them visible to other local users on systems where process arguments are not restricted. Successful exploitation leads to information disclosure, potentially compromising VM access."
        }
      ],
      "metrics": [
        {
          "other": {
            "content": {
              "namespace": "https://access.redhat.com/security/updates/classification/",
              "value": "Moderate"
            },
            "type": "Red Hat severity rating"
          }
        },
        {
          "cvssV3_1": {
            "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"
          },
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      ],
      "problemTypes": [
        {
          "descriptions": [
            {
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              "description": "Invocation of Process Using Visible Sensitive Information",
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      "providerMetadata": {
        "dateUpdated": "2026-09-18T22:37:40.723Z",
        "orgId": "53f830b8-0a3f-465b-8143-3b8a9948e749",
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      "references": [
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        },
        {
          "name": "RHBZ#2469258",
          "tags": [
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            "x_refsource_REDHAT"
          ],
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2469258"
        }
      ],
      "timeline": [
        {
          "lang": "en",
          "time": "2026-05-11T19:59:32.000Z",
          "value": "Reported to Red Hat."
        },
        {
          "lang": "en",
          "time": "2026-09-18T16:36:00.000Z",
          "value": "Made public."
        }
      ],
      "title": "Cockpit-machines: cockpit-machines: sensitive data exposure via command-line arguments",
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    "datePublished": "2026-09-18T17:53:54.833Z",
    "dateReserved": "2026-09-16T19:08:56.383Z",
    "dateUpdated": "2026-09-18T22:37:40.723Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

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.

Detection rules are retrieved from Rulezet.

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.

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.