FKIE_CVE-2025-52050

Vulnerability from fkie_nvd - Published: 2025-09-30 14:15 - Updated: 2026-06-17 09:35
Summary
In Frappe ERPNext 15.57.5, the function get_loyalty_program_details_with_points() at erpnext/accounts/doctype/loyalty_program/loyalty_program.py is vulnerable to SQL Injection, which allows an attacker to extract all information from databases by injecting a SQL query into the expiry_date parameter.
Impacted products
Vendor Product Version
frappe erpnext 15.57.5

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "source": "cve@mitre.org"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:frappe:erpnext:15.57.5:*:*:*:*:*:*:*",
              "matchCriteriaId": "376805E2-896A-4FBF-9646-A23817F277D5",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "In Frappe ERPNext 15.57.5, the function get_loyalty_program_details_with_points() at erpnext/accounts/doctype/loyalty_program/loyalty_program.py is vulnerable to SQL Injection, which allows an attacker to extract all information from databases by injecting a SQL query into the expiry_date parameter."
    },
    {
      "lang": "es",
      "value": "En Frappe ERPNext 15.57.5, la funci\u00f3n get_loyalty_program_details_with_points() en erpnext/accounts/doctype/loyalty_program/loyalty_program.py es vulnerable a inyecci\u00f3n SQL, lo que permite a un atacante extraer toda la informaci\u00f3n de las bases de datos mediante la inyecci\u00f3n de una consulta SQL en el par\u00e1metro expiry_date."
    }
  ],
  "id": "CVE-2025-52050",
  "lastModified": "2026-06-17T09:35:58.347",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 6.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "LOW",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 2.5,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2025-52050",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-09-30T19:41:00.118972Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2025-09-30T14:15:39.893",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://github.com/Vietsunshine-Electronic-Solution-JSC/Vulnerability-Disclosures/blob/main/2025/Frappe%20Framework%20-%20Multiple%20SQL%20Injection.md"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/frappe/erpnext/pull/49192/commits/8696ba2f5d9e99c799d4aef577f72f2fae5678e7"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "type": "Secondary"
    }
  ]
}



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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.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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