CVE-2026-120820 (GCVE-0-2026-120820)

Vulnerability from cvelistv5 – Published: 2026-11-10 20:16 – Updated: 2026-11-10 20:16
VLAI
Title
Uncontrolled Resource Consumption in MongoDB Server Per-Namespace Encrypted-Field Statistics Table Leads to Denial of Service
Summary
MongoDB Server maintains an in-memory table of per-namespace statistics for operations that carry encrypted-field information. Entries are created for any namespace supplied in a request, with no limit on the number of entries and no way to remove entries that never corresponded to a real collection. A user with basic read privileges who repeatedly issues ordinary read commands referencing arbitrary namespace names may cause the server process to retain steadily increasing amounts of memory and to slow down on the affected code path; the memory is reclaimed only by restarting the process.
CWE
  • CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
mongodb CNA under the mitre root
CNA scorecard C 70/100 over 254 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
MongoDB MongoDB Server Affected: 9.0.0 , < 9.0.7 (semver)
Affected: 8.3.0 , < 8.3.16 (semver)
Affected: 8.0.0 , < 8.0.37 (semver)
guessed Create a notification for this product.
Show details on NVD website

{
  "containers": {
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "MongoDB Server",
          "vendor": "MongoDB",
          "versions": [
            {
              "lessThan": "9.0.7",
              "status": "affected",
              "version": "9.0.0",
              "versionType": "semver"
            },
            {
              "lessThan": "8.3.16",
              "status": "affected",
              "version": "8.3.0",
              "versionType": "semver"
            },
            {
              "lessThan": "8.0.37",
              "status": "affected",
              "version": "8.0.0",
              "versionType": "semver"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "MongoDB Server maintains an in-memory table of per-namespace statistics for operations that carry encrypted-field information. Entries are created for any namespace supplied in a request, with no limit on the number of entries and no way to remove entries that never corresponded to a real collection. A user with basic read privileges who repeatedly issues ordinary read commands referencing arbitrary namespace names may cause the server process to retain steadily increasing amounts of memory and to slow down on the affected code path; the memory is reclaimed only by restarting the process."
            }
          ],
          "value": "MongoDB Server maintains an in-memory table of per-namespace statistics for operations that carry encrypted-field information. Entries are created for any namespace supplied in a request, with no limit on the number of entries and no way to remove entries that never corresponded to a real collection. A user with basic read privileges who repeatedly issues ordinary read commands referencing arbitrary namespace names may cause the server process to retain steadily increasing amounts of memory and to slow down on the affected code path; the memory is reclaimed only by restarting the process."
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "Automatable": "NOT_DEFINED",
            "Recovery": "NOT_DEFINED",
            "Safety": "NOT_DEFINED",
            "attackComplexity": "LOW",
            "attackRequirements": "NONE",
            "attackVector": "NETWORK",
            "baseScore": 5.3,
            "baseSeverity": "MEDIUM",
            "exploitMaturity": "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:L/SC:N/SI:N/SA:N",
            "version": "4.0",
            "vulnAvailabilityImpact": "LOW",
            "vulnConfidentialityImpact": "NONE",
            "vulnIntegrityImpact": "NONE",
            "vulnerabilityResponseEffort": "NOT_DEFINED"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        },
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "LOW",
            "baseScore": 4.3,
            "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:L",
            "version": "3.1"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-770",
              "description": "CWE-770: Allocation of Resources Without Limits or Throttling",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-11-10T20:16:40.103Z",
        "orgId": "a39b4221-9bd0-4244-95fc-f3e2e07f1deb",
        "shortName": "mongodb"
      },
      "references": [
        {
          "url": "https://jira.mongodb.org/browse/SERVER-135737"
        }
      ],
      "source": {
        "discovery": "INTERNAL"
      },
      "title": "Uncontrolled Resource Consumption in MongoDB Server Per-Namespace Encrypted-Field Statistics Table Leads to Denial of Service",
      "x_generator": {
        "engine": "cve_record_builder.py"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a39b4221-9bd0-4244-95fc-f3e2e07f1deb",
    "assignerShortName": "mongodb",
    "cveId": "CVE-2026-120820",
    "datePublished": "2026-11-10T20:16:40.103Z",
    "dateReserved": "2026-11-02T22:54:37.535Z",
    "dateUpdated": "2026-11-10T20:16:40.103Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2026-120820",
      "date": "2026-11-12",
      "epss": "0.00358",
      "percentile": "0.30011"
    },
    "nvd": {
      "cve": {
        "affected": [
          {
            "affectedData": [
              {
                "defaultStatus": "unaffected",
                "product": "MongoDB Server",
                "vendor": "MongoDB",
                "versions": [
                  {
                    "lessThan": "9.0.7",
                    "status": "affected",
                    "version": "9.0.0",
                    "versionType": "semver"
                  },
                  {
                    "lessThan": "8.3.16",
                    "status": "affected",
                    "version": "8.3.0",
                    "versionType": "semver"
                  },
                  {
                    "lessThan": "8.0.37",
                    "status": "affected",
                    "version": "8.0.0",
                    "versionType": "semver"
                  }
                ]
              }
            ],
            "source": "cna@mongodb.com"
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "MongoDB Server maintains an in-memory table of per-namespace statistics for operations that carry encrypted-field information. Entries are created for any namespace supplied in a request, with no limit on the number of entries and no way to remove entries that never corresponded to a real collection. A user with basic read privileges who repeatedly issues ordinary read commands referencing arbitrary namespace names may cause the server process to retain steadily increasing amounts of memory and to slow down on the affected code path; the memory is reclaimed only by restarting the process."
          }
        ],
        "id": "CVE-2026-120820",
        "lastModified": "2026-11-10T22:08:59.707",
        "metrics": {
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "LOW",
                "baseScore": 4.3,
                "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:L",
                "version": "3.1"
              },
              "exploitabilityScore": 2.8,
              "impactScore": 1.4,
              "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": 5.3,
                "baseSeverity": "MEDIUM",
                "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:L/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": "LOW",
                "vulnConfidentialityImpact": "NONE",
                "vulnIntegrityImpact": "NONE",
                "vulnerabilityResponseEffort": "NOT_DEFINED"
              },
              "source": "cna@mongodb.com",
              "type": "Secondary"
            }
          ]
        },
        "published": "2026-11-10T21:19:00.643",
        "references": [
          {
            "source": "cna@mongodb.com",
            "url": "https://jira.mongodb.org/browse/SERVER-135737"
          }
        ],
        "sourceIdentifier": "cna@mongodb.com",
        "vulnStatus": "Awaiting Analysis",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-770"
              }
            ],
            "source": "cna@mongodb.com",
            "type": "Secondary"
          }
        ]
      }
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Events included in the timeline

Loading timeline…


    Loading…

    Loading…

    Loading…

    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.