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CVE-2024-37902

Estado: AplazadaCrítica (10)—

DeepJavaLibrary(DJL) is an Engine-Agnostic Deep Learning Framework in Java. DJL versions 0.1.0 through 0.27.0 do not prevent absolute path archived artifacts from inserting archived files directly into the system, overwriting system files. This is fixed in DJL 0.28.0 and patched in DJL Large Model Inference containers version 0.27.0. Users are advised to upgrade.

CVSS

Probabilidad de explotación (EPSS)

EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).

Tecnologías afectadas (1)

⚠ Inferidas por IA a partir de la descripción — NVD aún no ha analizado esta CVE; no son CPE verificados.

Deepjava — Deepjava LibraryAI

CWE

Referencias

JSON original (NVD)

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{
  "id": "CVE-2024-37902",
  "cveTags": [],
  "metrics": {
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2024-37902",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2024-06-18T14:02:14.127320Z"
        }
      }
    ],
    "cvssMetricV31": [
      {
        "type": "Secondary",
        "source": "security-advisories@github.com",
        "cvssData": {
          "scope": "CHANGED",
          "version": "3.1",
          "baseScore": 10,
          "attackVector": "NETWORK",
          "baseSeverity": "CRITICAL",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H",
          "integrityImpact": "HIGH",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "confidentialityImpact": "HIGH"
        },
        "impactScore": 6,
        "exploitabilityScore": 3.9
      }
    ]
  },
  "affected": [
    {
      "source": "security-advisories@github.com",
      "affectedData": [
        {
          "vendor": "deepjavalibrary",
          "product": "djl",
          "versions": [
            {
              "status": "affected",
              "version": ">= 0.1.0, < 0.28.0"
            }
          ]
        }
      ]
    },
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "affectedData": [
        {
          "cpes": [
            "cpe:2.3:a:deepjavalibrary:djl:*:*:*:*:*:*:*:*"
          ],
          "vendor": "deepjavalibrary",
          "product": "djl",
          "versions": [
            {
              "status": "affected",
              "version": "0.1.0",
              "lessThan": "0.28",
              "versionType": "custom"
            }
          ],
          "defaultStatus": "unknown"
        }
      ]
    }
  ],
  "published": "2024-06-17T20:15:14.463",
  "references": [
    {
      "url": "https://github.com/deepjavalibrary/djl/releases/tag/v0.28.0",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/deepjavalibrary/djl/security/advisories/GHSA-w877-jfw7-46rj",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/deepjavalibrary/djl/releases/tag/v0.28.0",
      "source": "af854a3a-2127-422b-91ae-364da2661108"
    },
    {
      "url": "https://github.com/deepjavalibrary/djl/security/advisories/GHSA-w877-jfw7-46rj",
      "source": "af854a3a-2127-422b-91ae-364da2661108"
    }
  ],
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "type": "Secondary",
      "source": "security-advisories@github.com",
      "description": [
        {
          "lang": "en",
          "value": "CWE-22"
        }
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "DeepJavaLibrary(DJL) is an Engine-Agnostic Deep Learning Framework in Java. DJL versions 0.1.0 through 0.27.0 do not prevent absolute path archived artifacts from inserting archived files directly into the system, overwriting system files. This is fixed in DJL 0.28.0 and patched in DJL Large Model Inference containers version 0.27.0. Users are advised to upgrade."
    },
    {
      "lang": "es",
      "value": "DeepJavaLibrary (DJL) es un framework de aprendizaje profundo independiente del motor en Java. Las versiones de DJL 0.1.0 a 0.27.0 no impiden que los artefactos archivados de ruta absoluta inserten archivos archivados directamente en el sistema, sobrescribiendo los archivos del sistema. Esto se solucionó en DJL 0.28.0 y se parcheó en los contenedores DJL Large Model Inference versión 0.27.0. Se recomienda a los usuarios que actualicen."
    }
  ],
  "lastModified": "2026-06-17T07:39:01.137",
  "sourceIdentifier": "security-advisories@github.com"
}