FKIE_CVE-2026-9749

Vulnerability from fkie_nvd - Published: 2026-06-09 23:17 - Updated: 2026-07-23 09:10
Severity
6.5 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Summary
This issue can occur when running an aggregation pipeline that uses the internal $exchange stage configured with key-range partitioning and order-preserving delivery. If a single key range produces enough documents to fill its exchange buffer (that is, many results are routed to the same consumer), the server reaches the code path where a full per-consumer buffer is detected but the internal "high watermark" for that key range is not updated as intended.
References
cna@mongodb.comhttps://jira.mongodb.org/browse/SERVER-124031Patch, Vendor Advisory
Impacted products
Vendor Product Version
mongodb mongodb *
mongodb mongodb *
mongodb mongodb *
mongodb mongodb *
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "defaultStatus": "unaffected",
          "product": "MongoDB Server",
          "vendor": "MongoDB",
          "versions": [
            {
              "lessThan": "8.3.3",
              "status": "affected",
              "version": "8.3.0",
              "versionType": "semver"
            },
            {
              "lessThan": "8.2.10",
              "status": "affected",
              "version": "8.2.0",
              "versionType": "semver"
            },
            {
              "lessThan": "8.0.24",
              "status": "affected",
              "version": "8.0.0",
              "versionType": "semver"
            },
            {
              "lessThan": "7.0.35",
              "status": "affected",
              "version": "7.0.0",
              "versionType": "semver"
            }
          ]
        }
      ],
      "source": "cna@mongodb.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:mongodb:mongodb:*:*:*:*:-:*:*:*",
              "matchCriteriaId": "5E18B14E-2313-48F8-B01A-EE5B6FCB2454",
              "versionEndExcluding": "7.0.35",
              "versionStartIncluding": "7.0.0",
              "vulnerable": true
            },
            {
              "criteria": "cpe:2.3:a:mongodb:mongodb:*:*:*:*:-:*:*:*",
              "matchCriteriaId": "6E432AA0-551E-40F1-B3D9-F0855A0EA3BF",
              "versionEndExcluding": "8.0.24",
              "versionStartIncluding": "8.0.0",
              "vulnerable": true
            },
            {
              "criteria": "cpe:2.3:a:mongodb:mongodb:*:*:*:*:-:*:*:*",
              "matchCriteriaId": "BF13D90A-C5F8-4199-B914-0E67E160BFAB",
              "versionEndExcluding": "8.2.10",
              "versionStartIncluding": "8.2.0",
              "vulnerable": true
            },
            {
              "criteria": "cpe:2.3:a:mongodb:mongodb:*:*:*:*:-:*:*:*",
              "matchCriteriaId": "56EC12EE-0326-44DA-8BEA-EBCD528FE886",
              "versionEndExcluding": "8.3.3",
              "versionStartIncluding": "8.3.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "This issue can occur when running an aggregation pipeline that uses the internal $exchange stage configured with key-range partitioning and order-preserving delivery. If a single key range produces enough documents to fill its exchange buffer (that is, many results are routed to the same consumer), the server reaches the code path where a full per-consumer buffer is detected but the internal \"high watermark\" for that key range is not updated as intended."
    },
    {
      "lang": "es",
      "value": "Este problema puede ocurrir al ejecutar una pipeline de agregaci\u00f3n que utiliza la etapa interna $exchange configurada con particionamiento por rango de claves y entrega que preserva el orden. Si un \u00fanico rango de claves produce suficientes documentos para llenar su b\u00fafer de intercambio (es decir, muchos resultados se enrutan al mismo consumidor), el servidor alcanza la ruta de c\u00f3digo donde se detecta un b\u00fafer completo por consumidor, pero la \u0027marca de agua alta\u0027 interna para ese rango de claves no se actualiza seg\u00fan lo previsto."
    }
  ],
  "id": "CVE-2026-9749",
  "lastModified": "2026-07-23T09:10:00.113",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 6.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 3.6,
        "source": "cna@mongodb.com",
        "type": "Secondary"
      }
    ],
    "cvssMetricV40": [
      {
        "cvssData": {
          "Automatable": "NOT_DEFINED",
          "Recovery": "NOT_DEFINED",
          "Safety": "NOT_DEFINED",
          "attackComplexity": "LOW",
          "attackRequirements": "NONE",
          "attackVector": "NETWORK",
          "availabilityRequirement": "NOT_DEFINED",
          "baseScore": 7.1,
          "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": "LOW",
          "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:L/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": "cna@mongodb.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-9749",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-06-10T13:32:40.481074Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-06-09T23:17:04.380",
  "references": [
    {
      "source": "cna@mongodb.com",
      "tags": [
        "Patch",
        "Vendor Advisory"
      ],
      "url": "https://jira.mongodb.org/browse/SERVER-124031"
    }
  ],
  "sourceIdentifier": "cna@mongodb.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-617"
        }
      ],
      "source": "cna@mongodb.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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