FKIE_CVE-2026-25879

Vulnerability from fkie_nvd - Published: 2026-06-01 23:16 - Updated: 2026-07-21 19:10
Severity
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Summary
Langroid is a framework for building large-language-model-powered applications. Prior to version 0.63.0, SQLChatAgent executes SQL produced by an LLM, which is influenceable by prompt injection. When configured with a database role that has privileges enabling code execution or filesystem access (e.g., PostgreSQL pg_execute_server_program, MySQL FILE, MSSQL xp_cmdshell), an attacker who can shape the agent's input — including indirectly via data returned to the LLM — can coerce execution of dialect-specific primitives such as `COPY ... FROM PROGRAM`, achieving RCE on the database host. Fixed in v0.63.0 by defaulting SQLChatAgent to a SELECT-only sqlglot-parsed statement allowlist with a dialect-aware dangerous-pattern blocklist; allow_dangerous_operations=True restores the previous unrestricted behavior for trusted deployments.
References
security-advisories@github.comhttps://github.com/langroid/langroid/security/advisories/GHSA-mxfr-6hcw-j9rq
134c704f-9b21-4f2e-91b3-4a467353bcc0https://github.com/langroid/langroid/security/advisories/GHSA-mxfr-6hcw-j9rq
Impacted products
Vendor Product Version
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "langroid",
          "vendor": "langroid",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 0.63.0"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Langroid is a framework for building large-language-model-powered applications. Prior to version 0.63.0, SQLChatAgent executes SQL produced by an LLM, which is influenceable by prompt injection. When configured with a database role that has privileges enabling code execution or filesystem access (e.g., PostgreSQL pg_execute_server_program, MySQL FILE, MSSQL xp_cmdshell), an attacker who can shape the agent\u0027s input \u2014 including indirectly via data returned to the LLM \u2014 can coerce execution of dialect-specific primitives such as `COPY ... FROM PROGRAM`, achieving RCE on the database host. Fixed in v0.63.0 by defaulting SQLChatAgent to a SELECT-only sqlglot-parsed statement allowlist with a dialect-aware dangerous-pattern blocklist; allow_dangerous_operations=True restores the previous unrestricted behavior for trusted deployments."
    },
    {
      "lang": "es",
      "value": "Langroid es un framework para construir aplicaciones impulsadas por modelos de lenguaje grandes. Antes de la versi\u00f3n 0.63.0, SQLChatAgent ejecuta SQL producido por un LLM, el cual es influenciable mediante inyecci\u00f3n de prompts. Cuando se configura con un rol de base de datos que tiene privilegios que permiten la ejecuci\u00f3n de c\u00f3digo o el acceso al sistema de archivos (por ejemplo, PostgreSQL pg_execute_server_program, MySQL FILE, MSSQL xp_cmdshell), un atacante que puede moldear la entrada del agente - incluso indirectamente a trav\u00e9s de datos devueltos al LLM - puede forzar la ejecuci\u00f3n de primitivas espec\u00edficas del dialecto como \u0027COPY ... FROM PROGRAM\u0027, logrando RCE en el host de la base de datos. Corregido en la v0.63.0 al establecer por defecto SQLChatAgent a una lista de permitidos de sentencias analizadas por sqlglot de solo SELECT con una lista de bloqueados de patrones peligrosos consciente del dialecto; allow_dangerous_operations=True restaura el comportamiento irrestricto anterior para implementaciones de confianza."
    }
  ],
  "id": "CVE-2026-25879",
  "lastModified": "2026-07-21T19:10:00.107",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.8,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.9,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-25879",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-06-02T15:03:18.990011Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-06-01T23:16:21.930",
  "references": [
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/langroid/langroid/security/advisories/GHSA-mxfr-6hcw-j9rq"
    },
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "url": "https://github.com/langroid/langroid/security/advisories/GHSA-mxfr-6hcw-j9rq"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        },
        {
          "lang": "en",
          "value": "CWE-94"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.