CVE-2026-31230

Full vulnerability record from the local CVENow database.

Description

The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains a command-line argument injection vulnerability in its Kubeflow component (robustness_evaluation_fgsm_pytorch.py). The script uses the unsafe eval() function to parse string values provided via the --clip_values and --input_shape command-line arguments. This allows an attacker to inject arbitrary Python code into these arguments, which will be executed when eval() is called. The vulnerability can be exploited remotely if an attacker can control these arguments (e.g., through pipeline configuration or automated scripts), leading to arbitrary code execution on the system running the ART evaluation.

Severity

CRITICAL

CVSS score

9.8 (v3.1)

Vulnerability status

Deferred

Source identifier

[email protected]

Published

2026-05-12 18:16:51.277000

Last modified

2026-10-19 22:10:00.130000

View original CVE JSON

{
  "id": "CVE-2026-31230",
  "sourceIdentifier": "[email protected]",
  "published": "2026-05-12T18:16:51.277",
  "lastModified": "2026-10-19T22:10:00.130",
  "vulnStatus": "Deferred",
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains a command-line argument injection vulnerability in its Kubeflow component (robustness_evaluation_fgsm_pytorch.py). The script uses the unsafe eval() function to parse string values provided via the --clip_values and --input_shape command-line arguments. This allows an attacker to inject arbitrary Python code into these arguments, which will be executed when eval() is called. The vulnerability can be exploited remotely if an attacker can control these arguments (e.g., through pipeline configuration or automated scripts), leading to arbitrary code execution on the system running the ART evaluation."
    },
    {
      "lang": "es",
      "value": "La Adversarial Robustness Toolbox (ART) hasta la versión 1.20.1 contiene una vulnerabilidad de inyección de argumentos de línea de comandos en su componente de Kubeflow (robustness_evaluation_fgsm_pytorch.py). El script utiliza la función insegura eval() para analizar valores de cadena proporcionados a través de los argumentos de línea de comandos --clip_values y --input_shape. Esto permite a un atacante inyectar código Python arbitrario en estos argumentos, que se ejecutará cuando se llame a eval(). La vulnerabilidad puede ser explotada remotamente si un atacante puede controlar estos argumentos (por ejemplo, a través de la configuración de la canalización o scripts automatizados), lo que lleva a la ejecución de código arbitrario en el sistema que ejecuta la evaluación de ART."
    }
  ],
  "affected": [
    {
      "source": "[email protected]",
      "affectedData": [
        {
          "vendor": "n/a",
          "product": "n/a",
          "versions": [
            {
              "version": "n/a",
              "status": "affected"
            }
          ]
        }
      ]
    },
    {
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
      "affectedData": [
        {
          "vendor": "Red Hat",
          "product": "Red Hat OpenShift AI (RHOAI)",
          "defaultStatus": "unaffected",
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "packageName": "rhoai/odh-kserve-agent-rhel9",
          "cpes": [
            "cpe:/a:redhat:openshift_ai"
          ]
        },
        {
          "vendor": "Red Hat",
          "product": "Red Hat OpenShift AI (RHOAI)",
          "defaultStatus": "unaffected",
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "packageName": "rhoai/odh-kserve-controller-rhel9",
          "cpes": [
            "cpe:/a:redhat:openshift_ai"
          ]
        },
        {
          "vendor": "Red Hat",
          "product": "Red Hat OpenShift AI (RHOAI)",
          "defaultStatus": "unaffected",
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "packageName": "rhoai/odh-kserve-router-rhel9",
          "cpes": [
            "cpe:/a:redhat:openshift_ai"
          ]
        },
        {
          "vendor": "Red Hat",
          "product": "Red Hat OpenShift AI (RHOAI)",
          "defaultStatus": "affected",
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "packageName": "rhoai/odh-kserve-storage-initializer-rhel9",
          "cpes": [
            "cpe:/a:redhat:openshift_ai"
          ]
        }
      ]
    }
  ],
  "metrics": {
    "cvssMetricV31": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary",
        "cvssData": {
          "version": "3.1",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "baseScore": 9.8,
          "baseSeverity": "CRITICAL",
          "attackVector": "NETWORK",
          "attackComplexity": "LOW",
          "privilegesRequired": "NONE",
          "userInteraction": "NONE",
          "scope": "UNCHANGED",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "availabilityImpact": "HIGH"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.9
      },
      {
        "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
        "type": "Secondary",
        "cvssData": {
          "version": "3.1",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "attackVector": "NETWORK",
          "attackComplexity": "LOW",
          "privilegesRequired": "LOW",
          "userInteraction": "NONE",
          "scope": "UNCHANGED",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "availabilityImpact": "HIGH"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "timestamp": "2026-05-13T14:23:35.004075Z",
          "id": "CVE-2026-31230",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "version": "2.0.3"
        }
      }
    ]
  },
  "weaknesses": [
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "type": "Secondary",
      "description": [
        {
          "lang": "en",
          "value": "CWE-88"
        }
      ]
    },
    {
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
      "type": "Secondary",
      "description": [
        {
          "lang": "en",
          "value": "CWE-94"
        }
      ]
    }
  ],
  "references": [
    {
      "url": "https://github.com/Trusted-AI/adversarial-robustness-toolbox",
      "source": "[email protected]"
    },
    {
      "url": "https://www.notion.so/CVE-2026-31230-35d1e13931888126b624d12769c0e040",
      "source": "[email protected]"
    },
    {
      "url": "https://access.redhat.com/security/cve/CVE-2026-31230",
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"
    },
    {
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2476634",
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"
    },
    {
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-31230.json",
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"
    }
  ]
}