FKIE_CVE-2025-32405

Vulnerability from fkie_nvd - Published: 2025-05-07 07:15 - Updated: 2026-06-17 09:11
Summary
An Out-of-bounds Write in RT-Labs P-Net version 1.0.1 or earlier allows an attacker to induce a crash in IO devices that use the library by sending a malicious RPC packet.
Impacted products
Vendor Product Version
rt-labs p-net *

{
  "affected": [
    {
      "affectedData": [
        {
          "collectionURL": "https://rt-labs.com/product/p-net/",
          "defaultStatus": "unaffected",
          "product": "P-Net",
          "vendor": "RT-Labs",
          "versions": [
            {
              "lessThanOrEqual": "1.0.1",
              "status": "affected",
              "version": "0",
              "versionType": "semver"
            }
          ]
        }
      ],
      "source": "prodsec@nozominetworks.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:rt-labs:p-net:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "32EBED7A-2F0A-4A48-BCF2-A5133F9B8345",
              "versionEndExcluding": "1.0.2",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "An Out-of-bounds Write in RT-Labs P-Net version 1.0.1 or earlier allows an attacker to induce a crash in IO devices that use the library by sending a malicious RPC packet."
    },
    {
      "lang": "es",
      "value": "Una escritura fuera de los l\u00edmites en RT-Labs P-Net versi\u00f3n 1.0.1 o anterior permite que un atacante induzca un bloqueo en los dispositivos IO que usan la librer\u00eda enviando un paquete RPC malicioso."
    }
  ],
  "id": "CVE-2025-32405",
  "lastModified": "2026-06-17T09:11:56.990",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 3.6,
        "source": "prodsec@nozominetworks.com",
        "type": "Secondary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2025-32405",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-05-07T13:47:02.703803Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2025-05-07T07:15:51.637",
  "references": [
    {
      "source": "prodsec@nozominetworks.com",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://www.nozominetworks.com/labs/vulnerability-advisories-cve-2025-32405"
    }
  ],
  "sourceIdentifier": "prodsec@nozominetworks.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-787"
        }
      ],
      "source": "prodsec@nozominetworks.com",
      "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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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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