FKIE_CVE-2025-0185

Vulnerability from fkie_nvd - Published: 2025-03-20 10:15 - Updated: 2026-06-17 08:26
Severity
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Summary
A vulnerability in the Dify Tools' Vanna module of the langgenius/dify repository allows for a Pandas Query Injection in the latest version. The vulnerability occurs in the function `vn.get_training_plan_generic(df_information_schema)`, which does not properly sanitize user inputs before executing queries using the Pandas library. This can potentially lead to Remote Code Execution (RCE) if exploited.
References
security@huntr.devhttps://huntr.com/bounties/7d9eb9b2-7b86-45ed-89bd-276c1350db7eExploit, Issue Tracking, Third Party Advisory
134c704f-9b21-4f2e-91b3-4a467353bcc0https://huntr.com/bounties/7d9eb9b2-7b86-45ed-89bd-276c1350db7eExploit, Issue Tracking, Third Party Advisory
Impacted products
Vendor Product Version
dify dify -
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "langgenius/dify",
          "vendor": "langgenius",
          "versions": [
            {
              "lessThanOrEqual": "latest",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "source": "security@huntr.dev"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:dify:dify:-:*:*:*:*:*:*:*",
              "matchCriteriaId": "610C84B3-A71E-482D-80FD-01D1E9E0182C",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "A vulnerability in the Dify Tools\u0027 Vanna module of the langgenius/dify repository allows for a Pandas Query Injection in the latest version. The vulnerability occurs in the function `vn.get_training_plan_generic(df_information_schema)`, which does not properly sanitize user inputs before executing queries using the Pandas library. This can potentially lead to Remote Code Execution (RCE) if exploited."
    },
    {
      "lang": "es",
      "value": "Una vulnerabilidad en el m\u00f3dulo Vanna de Dify Tools del repositorio langgenius/dify permite la inyecci\u00f3n de consultas de Pandas en la \u00faltima versi\u00f3n. La vulnerabilidad se produce en la funci\u00f3n `vn.get_training_plan_generic(df_information_schema)`, que no depura correctamente las entradas del usuario antes de ejecutar consultas con la librer\u00eda de Pandas. Esto podr\u00eda provocar la ejecuci\u00f3n remota de c\u00f3digo (RCE) si se explota."
    }
  ],
  "id": "CVE-2025-0185",
  "lastModified": "2026-06-17T08:26:02.150",
  "metrics": {
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "security@huntr.dev",
        "type": "Secondary"
      }
    ],
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2025-0185",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-03-20T14:07:34.863303Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2025-03-20T10:15:51.293",
  "references": [
    {
      "source": "security@huntr.dev",
      "tags": [
        "Exploit",
        "Issue Tracking",
        "Third Party Advisory"
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      "url": "https://huntr.com/bounties/7d9eb9b2-7b86-45ed-89bd-276c1350db7e"
    },
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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  "sourceIdentifier": "security@huntr.dev",
  "vulnStatus": "Analyzed",
  "weaknesses": [
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      "description": [
        {
          "lang": "en",
          "value": "CWE-94"
        }
      ],
      "source": "security@huntr.dev",
      "type": "Secondary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-94"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}


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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

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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.