FKIE_CVE-2026-10142

Vulnerability from fkie_nvd - Published: 2026-06-10 22:16 - Updated: 2026-07-23 09:10
Severity
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Summary
kafka-python prior to 2.3.2 contains a denial-of-service vulnerability in the protocol parser that allows a malicious broker or machine-in-the-middle attacker to exhaust memory or hang connections by sending a crafted 4-byte frame length value without bounds validation. Attackers can send a specially crafted frame length through the receive_bytes() function to trigger either a multi-gigabyte memory allocation or an uncaught ValueError that leaves the connection in a broken state, causing requests to hang and consumers to stop heartbeating until restart.
References
disclosure@vulncheck.comhttps://github.com/dpkp/kafka-python/commit/6e4831444f972d169cdd11f5c8d50333cea3f19bPatch
disclosure@vulncheck.comhttps://github.com/dpkp/kafka-python/pull/3019Issue Tracking, Patch
disclosure@vulncheck.comhttps://github.com/dpkp/kafka-python/pull/3026Issue Tracking, Patch
disclosure@vulncheck.comhttps://www.vulncheck.com/advisories/kafka-python-prior-to-denial-of-service-via-protocol-parser-frame-lengthPatch, Third Party Advisory
Impacted products
Vendor Product Version
dpkp kafka-python *
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "collectionURL": "https://github.com/dpkp/kafka-python",
          "defaultStatus": "unknown",
          "product": "kafka-python",
          "vendor": "Dana Powers",
          "versions": [
            {
              "lessThan": "2.3.2",
              "status": "affected",
              "version": "0",
              "versionType": "git"
            }
          ]
        }
      ],
      "source": "disclosure@vulncheck.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:dpkp:kafka-python:*:*:*:*:*:python:*:*",
              "matchCriteriaId": "6E5BAD52-2501-4C08-AFC6-8958B4974860",
              "versionEndExcluding": "2.3.2",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "kafka-python prior to 2.3.2 contains a denial-of-service vulnerability in the protocol parser that allows a malicious broker or machine-in-the-middle attacker to exhaust memory or hang connections by sending a crafted 4-byte frame length value without bounds validation. Attackers can send a specially crafted frame length through the receive_bytes() function to trigger either a multi-gigabyte memory allocation or an uncaught ValueError that leaves the connection in a broken state, causing requests to hang and consumers to stop heartbeating until restart."
    },
    {
      "lang": "es",
      "value": "kafka-python anterior a 2.3.2 contiene una vulnerabilidad de denegaci\u00f3n de servicio en el analizador de protocolo que permite a un intermediario malicioso o atacante de m\u00e1quina-en-el-medio agotar la memoria o colgar las conexiones enviando un valor de longitud de trama de 4 bytes manipulado sin validaci\u00f3n de l\u00edmites. Los atacantes pueden enviar una longitud de trama especialmente manipulada a trav\u00e9s de la funci\u00f3n receive_bytes() para activar una asignaci\u00f3n de memoria de varios gigabytes o un ValueError no capturado que deja la conexi\u00f3n en un estado roto, haciendo que las solicitudes se cuelguen y los consumidores dejen de enviar latidos hasta el reinicio."
    }
  ],
  "id": "CVE-2026-10142",
  "lastModified": "2026-07-23T09:10:00.113",
  "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": "disclosure@vulncheck.com",
        "type": "Secondary"
      }
    ],
    "cvssMetricV40": [
      {
        "cvssData": {
          "Automatable": "NOT_DEFINED",
          "Recovery": "NOT_DEFINED",
          "Safety": "NOT_DEFINED",
          "attackComplexity": "LOW",
          "attackRequirements": "NONE",
          "attackVector": "NETWORK",
          "availabilityRequirement": "NOT_DEFINED",
          "baseScore": 8.7,
          "baseSeverity": "HIGH",
          "confidentialityRequirement": "NOT_DEFINED",
          "exploitMaturity": "NOT_DEFINED",
          "integrityRequirement": "NOT_DEFINED",
          "modifiedAttackComplexity": "NOT_DEFINED",
          "modifiedAttackRequirements": "NOT_DEFINED",
          "modifiedAttackVector": "NOT_DEFINED",
          "modifiedPrivilegesRequired": "NOT_DEFINED",
          "modifiedSubAvailabilityImpact": "NOT_DEFINED",
          "modifiedSubConfidentialityImpact": "NOT_DEFINED",
          "modifiedSubIntegrityImpact": "NOT_DEFINED",
          "modifiedUserInteraction": "NOT_DEFINED",
          "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
          "modifiedVulnConfidentialityImpact": "NOT_DEFINED",
          "modifiedVulnIntegrityImpact": "NOT_DEFINED",
          "privilegesRequired": "NONE",
          "providerUrgency": "NOT_DEFINED",
          "subAvailabilityImpact": "NONE",
          "subConfidentialityImpact": "NONE",
          "subIntegrityImpact": "NONE",
          "userInteraction": "NONE",
          "valueDensity": "NOT_DEFINED",
          "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
          "version": "4.0",
          "vulnAvailabilityImpact": "HIGH",
          "vulnConfidentialityImpact": "NONE",
          "vulnIntegrityImpact": "NONE",
          "vulnerabilityResponseEffort": "NOT_DEFINED"
        },
        "source": "disclosure@vulncheck.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-10142",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-06-11T14:12:48.592271Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-06-10T22:16:55.350",
  "references": [
    {
      "source": "disclosure@vulncheck.com",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/dpkp/kafka-python/commit/6e4831444f972d169cdd11f5c8d50333cea3f19b"
    },
    {
      "source": "disclosure@vulncheck.com",
      "tags": [
        "Issue Tracking",
        "Patch"
      ],
      "url": "https://github.com/dpkp/kafka-python/pull/3019"
    },
    {
      "source": "disclosure@vulncheck.com",
      "tags": [
        "Issue Tracking",
        "Patch"
      ],
      "url": "https://github.com/dpkp/kafka-python/pull/3026"
    },
    {
      "source": "disclosure@vulncheck.com",
      "tags": [
        "Patch",
        "Third Party Advisory"
      ],
      "url": "https://www.vulncheck.com/advisories/kafka-python-prior-to-denial-of-service-via-protocol-parser-frame-length"
    }
  ],
  "sourceIdentifier": "disclosure@vulncheck.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-789"
        }
      ],
      "source": "disclosure@vulncheck.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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