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CVE-2026-55405

Estado: Pendiente de análisisAlta (7.6)—

LangChain4j is a Java library for building LLM-powered applications on the JVM. Prior to 1.2.1-beta8, 1.5.1-beta11, 1.11.8-beta19, and 1.16.3-beta26, the MariaDB and pgvector embedding stores build metadata-filter SQL by string-concatenating filter keys, and in MariaDB string values, directly into the query without adequate escaping.

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A crafted metadata key in EmbeddingSearchRequest.filter() can break out of its SQL context and inject arbitrary SQL into the statements executed by the stores' search and removeAll(Filter) operations, enabling blind data exfiltration, denial of service via sleep functions, and deletion of arbitrary rows through removeAll(Filter). This issue is fixed in langchain4j-mariadb and langchain4j-pgvector versions 1.2.1-beta8, 1.5.1-beta11, 1.11.8-beta19, and 1.16.3-beta26.

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).

🎯 Técnicas ATT&CK

Cómo se explota esta vulnerabilidad y qué consigue el atacante, en el lenguaje de MITRE ATT&CK.

SQL injection (CWE-89) en servicio remoto MariaDB/pgvector que requiere autenticación (PR:L), exfiltración de datos (C:H), manipulación (I:L) y DoS mediante funciones sleep.

Inferido por nuestro agente de análisis a partir de la descripción oficial, el vector CVSS y la CWE, y comprobado por un supervisor. Puede contener errores.

🛡️ Mitigaciones ATT&CK que cubren estas técnicas

Vulnerability ScanningThreat Intelligence ProgramRestrict File and Directory PermissionsPrivileged Account ManagementRemote Data StorageNetwork Segmentation

Tecnologías afectadas (3)

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

Langchain4j — Langchain4jAILangchain4j — Langchain4j-mariadbAILangchain4j — Langchain4j-pgvectorAI

CWE

Referencias

JSON original (NVD)

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{
  "id": "CVE-2026-55405",
  "cveTags": [],
  "metrics": {
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-55405",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2026-07-13T14:07:40.563039Z"
        }
      }
    ],
    "cvssMetricV31": [
      {
        "type": "Secondary",
        "source": "security-advisories@github.com",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 7.6,
          "attackVector": "NETWORK",
          "baseSeverity": "HIGH",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:L",
          "integrityImpact": "LOW",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "LOW",
          "privilegesRequired": "LOW",
          "confidentialityImpact": "HIGH"
        },
        "impactScore": 4.7,
        "exploitabilityScore": 2.8
      }
    ]
  },
  "affected": [
    {
      "source": "security-advisories@github.com",
      "affectedData": [
        {
          "vendor": "langchain4j",
          "product": "langchain4j",
          "versions": [
            {
              "status": "affected",
              "version": "< 1.2.1-beta8"
            },
            {
              "status": "affected",
              "version": ">= 1.3.0-beta9, < 1.5.1-beta11"
            },
            {
              "status": "affected",
              "version": ">= 1.6.0-beta12, < 1.11.8-beta19"
            },
            {
              "status": "affected",
              "version": ">= 1.12.1-beta21, < 1.16.3-beta26"
            }
          ]
        }
      ]
    }
  ],
  "published": "2026-07-10T21:16:55.977",
  "references": [
    {
      "url": "https://github.com/langchain4j/langchain4j/commit/13a0698bdfaf105d8aaf0367881df51358596219",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/langchain4j/langchain4j/commit/1bc1f60aa58ef5c3c1703caf73362482480351cf",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/langchain4j/langchain4j/commit/8805d5d128694302f1b0a2650174186862f669e7",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/langchain4j/langchain4j/commit/ce96291dfb243c7f6753b5d65c7a77914642314f",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/langchain4j/langchain4j/commit/f14a10ce77e4ea1b8277f67d6a81f46abd7a5bc2",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/langchain4j/langchain4j/releases/tag/1.16.3",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/langchain4j/langchain4j/security/advisories/GHSA-2mfg-cc43-9pcj",
      "source": "security-advisories@github.com"
    }
  ],
  "vulnStatus": "Awaiting Analysis",
  "weaknesses": [
    {
      "type": "Secondary",
      "source": "security-advisories@github.com",
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "LangChain4j is a Java library for building LLM-powered applications on the JVM. Prior to  1.2.1-beta8, 1.5.1-beta11, 1.11.8-beta19, and 1.16.3-beta26, the MariaDB and pgvector embedding stores build metadata-filter SQL by string-concatenating filter keys, and in MariaDB string values, directly into the query without adequate escaping. A crafted metadata key in EmbeddingSearchRequest.filter() can break out of its SQL context and inject arbitrary SQL into the statements executed by the stores' search and removeAll(Filter) operations, enabling blind data exfiltration, denial of service via sleep functions, and deletion of arbitrary rows through removeAll(Filter). This issue is fixed in langchain4j-mariadb and langchain4j-pgvector versions 1.2.1-beta8, 1.5.1-beta11, 1.11.8-beta19, and 1.16.3-beta26."
    }
  ],
  "lastModified": "2026-07-13T18:09:30.873",
  "sourceIdentifier": "security-advisories@github.com"
}