FKIE_CVE-2025-46018

Vulnerability from fkie_nvd - Published: 2025-08-01 14:15 - Updated: 2026-06-17 09:25
Summary
CSC Pay Mobile App 2.19.4 (fixed in version 2.20.0) contains a vulnerability allowing users to bypass payment authorization by disabling Bluetooth at a specific point during a transaction. This could result in unauthorized use of laundry services and potential financial loss.
Impacted products
Vendor Product Version
cscsw pay_mobile 2.19.4

{
  "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:cscsw:pay_mobile:2.19.4:*:*:*:*:*:*:*",
              "matchCriteriaId": "348C8116-5081-42BD-A756-26D29AD84247",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "CSC Pay Mobile App 2.19.4 (fixed in version 2.20.0) contains a vulnerability allowing users to bypass payment authorization by disabling Bluetooth at a specific point during a transaction. This could result in unauthorized use of laundry services and potential financial loss."
    },
    {
      "lang": "es",
      "value": "CSC Pay Mobile App 2.19.4 (corregida en la versi\u00f3n 2.20.0) contiene una vulnerabilidad que permite a los usuarios eludir la autorizaci\u00f3n de pago desactivando el Bluetooth en un momento espec\u00edfico durante la transacci\u00f3n. Esto podr\u00eda resultar en el uso no autorizado de los servicios de lavander\u00eda y posibles p\u00e9rdidas econ\u00f3micas."
    }
  ],
  "id": "CVE-2025-46018",
  "lastModified": "2026-06-17T09:25:53.290",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "LOW",
          "baseScore": 5.4,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:L",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 2.5,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2025-46018",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-08-01T17:51:54.751199Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2025-08-01T14:15:35.260",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://github.com/niranjangaire1995/CVE-2025-46018-CSC-Pay-Mobile-App-Payment-Authentication-Bypass"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Product"
      ],
      "url": "https://www.cscsw.com/disclosure-process/"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-290"
        }
      ],
      "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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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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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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