{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-7584",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-05-01T13:26:46.982666Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-05-01T13:26:59.075Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "collectionURL": "https://pypi.org/project/laboneq/",
          "defaultStatus": "unaffected",
          "packageName": "laboneq",
          "product": "LabOne Q",
          "vendor": "Zurich Instruments",
          "versions": [
            {
              "lessThan": "26.1.2",
              "status": "affected",
              "version": "2.41.0",
              "versionType": "python"
            },
            {
              "lessThanOrEqual": "26.4.0b5",
              "status": "affected",
              "version": "26.4.0b1",
              "versionType": "python"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "\u003cp\u003eThe LabOne Q serialization framework uses a class-loading mechanism (import_cls) to dynamically import and instantiate Python classes during deserialization. Prior to the fix, this mechanism accepted arbitrary fully-qualified class names from the serialized data without any validation of the target class or restriction on which modules could be imported. An attacker can craft a serialized experiment file that causes the deserialization engine to import and instantiate arbitrary Python classes with attacker-controlled constructor arguments, resulting in arbitrary code execution in the context of the user running the Python process. Exploitation requires the victim to load a malicious file using LabOne Q\u0027s deserialization functions, for example a compromised experiment file shared for collaboration or support purposes.\u003c/p\u003e"
            }
          ],
          "value": "The LabOne Q serialization framework uses a class-loading mechanism (import_cls) to dynamically import and instantiate Python classes during deserialization. Prior to the fix, this mechanism accepted arbitrary fully-qualified class names from the serialized data without any validation of the target class or restriction on which modules could be imported. An attacker can craft a serialized experiment file that causes the deserialization engine to import and instantiate arbitrary Python classes with attacker-controlled constructor arguments, resulting in arbitrary code execution in the context of the user running the Python process. Exploitation requires the victim to load a malicious file using LabOne Q\u0027s deserialization functions, for example a compromised experiment file shared for collaboration or support purposes."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        },
        {
          "cvssV4_0": {
            "Automatable": "NOT_DEFINED",
            "Recovery": "NOT_DEFINED",
            "Safety": "NOT_DEFINED",
            "attackComplexity": "LOW",
            "attackRequirements": "NONE",
            "attackVector": "LOCAL",
            "baseScore": 8.4,
            "baseSeverity": "HIGH",
            "exploitMaturity": "NOT_DEFINED",
            "privilegesRequired": "NONE",
            "providerUrgency": "NOT_DEFINED",
            "subAvailabilityImpact": "NONE",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "NONE",
            "userInteraction": "ACTIVE",
            "valueDensity": "NOT_DEFINED",
            "vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
            "version": "4.0",
            "vulnAvailabilityImpact": "HIGH",
            "vulnConfidentialityImpact": "HIGH",
            "vulnIntegrityImpact": "HIGH",
            "vulnerabilityResponseEffort": "NOT_DEFINED"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-502",
              "description": "CWE-502 Deserialization of Untrusted Data",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-05-01T07:21:18.781Z",
        "orgId": "455daabc-a392-441d-aa46-37d35189897c",
        "shortName": "NCSC.ch"
      },
      "references": [
        {
          "name": "ZI-SA-2026-002",
          "tags": [
            "vendor-advisory"
          ],
          "url": "https://www.zhinst.com/support/security/2026/zi-sa-2026-002/"
        }
      ],
      "solutions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "\u003cp\u003eUpdate LabOne Q to version 26.1.2 (security backport on the 26.1.x line) or to 26.4.0 or later. The package can be updated via `pip install --upgrade laboneq`.\u003c/p\u003e"
            }
          ],
          "value": "Update LabOne Q to version 26.1.2 (security backport on the 26.1.x line) or to 26.4.0 or later. The package can be updated via `pip install --upgrade laboneq`."
        }
      ],
      "source": {
        "discovery": "INTERNAL"
      },
      "title": "Arbitrary Code Execution via Unsafe Deserialization in LabOne Q",
      "workarounds": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "\u003cp\u003eDo not load untrusted experiment files: only deserialize experiment files (JSON, YAML) that originate from a trusted source. Treat serialized experiment files with the same caution as executable scripts.\u003c/p\u003e\u003cp\u003eValidate file provenance: when receiving experiment files from external parties (e.g. for support or collaboration), verify their origin before loading them.\u003c/p\u003e\u003cp\u003eAudit serialized files: before loading, inspect serialized experiment files and verify that only trusted classes are listed as deserializers.\u003c/p\u003e"
            }
          ],
          "value": "Do not load untrusted experiment files: only deserialize experiment files (JSON, YAML) that originate from a trusted source. Treat serialized experiment files with the same caution as executable scripts.\n\n\n\nValidate file provenance: when receiving experiment files from external parties (e.g. for support or collaboration), verify their origin before loading them.\n\n\n\nAudit serialized files: before loading, inspect serialized experiment files and verify that only trusted classes are listed as deserializers."
        }
      ],
      "x_generator": {
        "engine": "Vulnogram 1.0.2"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "455daabc-a392-441d-aa46-37d35189897c",
    "assignerShortName": "NCSC.ch",
    "cveId": "CVE-2026-7584",
    "datePublished": "2026-05-01T07:21:18.781Z",
    "dateReserved": "2026-05-01T07:14:23.592Z",
    "dateUpdated": "2026-05-01T13:26:59.075Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}