FKIE_CVE-2025-10258

Vulnerability from fkie_nvd - Published: 2026-02-05 08:16 - Updated: 2026-06-17 08:28
Summary
Infinera DNA is vulnerable to a time-based SQL injection vulnerability due to insufficient input validation, which may result in leaking of sensitive information.
Impacted products
Vendor Product Version
nokia infinera_dna *

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "Infinera DNA",
          "vendor": "Nokia",
          "versions": [
            {
              "status": "affected",
              "version": "Earlier than R24.2"
            },
            {
              "status": "unaffected",
              "version": "R24.2 and later"
            }
          ]
        }
      ],
      "source": "b48c3b8f-639e-4c16-8725-497bc411dad0"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:nokia:infinera_dna:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "517B4079-06FC-4304-AF33-95B19A3264A9",
              "versionEndExcluding": "r24.2",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Infinera DNA is vulnerable to a time-based SQL injection vulnerability due to insufficient input validation, which may result in leaking of sensitive information."
    },
    {
      "lang": "es",
      "value": "Infinera DNA es vulnerable a una vulnerabilidad de inyecci\u00f3n SQL basada en tiempo debido a una validaci\u00f3n de entrada insuficiente, lo que puede resultar en la fuga de informaci\u00f3n sensible."
    }
  ],
  "id": "CVE-2025-10258",
  "lastModified": "2026-06-17T08:28:00.620",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "ADJACENT_NETWORK",
          "availabilityImpact": "LOW",
          "baseScore": 6.3,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L",
          "version": "3.1"
        },
        "exploitabilityScore": 2.1,
        "impactScore": 4.2,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2025-10258",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-02-05T14:33:46.630378Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-02-05T08:16:07.500",
  "references": [
    {
      "source": "b48c3b8f-639e-4c16-8725-497bc411dad0",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://www.nokia.com/we-are-nokia/security/product-security-advisory/cve-2025-10258/"
    }
  ],
  "sourceIdentifier": "b48c3b8f-639e-4c16-8725-497bc411dad0",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    },
    {
      "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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