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CVE Record

CVE-2018-20803: Infinite loop in aggregation expression

A user authorized to perform database queries may trigger denial of service by issuing specially crafted queries, which loop indefinitely in mathematics processing while retaining locks. This issue affects MongoDB Server v4.0 versions prior to 4.0.5; MongoDB Server v3.6 versions prior to 3.6.10 and MongoDB Server v3.4 versions prior to 3.4.19.

MediumCVSS 6.5Not KEV-listedUpdated
Glexia's TakeAutomated analysismoderate

Security readout for executives and security teams

Plain-English summary

CVE-2018-20803 is a MongoDB Server denial-of-service flaw. A logged-in user who can run database queries may issue a specially crafted query that causes an infinite loop, consuming availability by holding locks. It does not indicate data theft or modification.

Executive priority

Prioritize remediation for business-critical MongoDB deployments and shared database clusters. The issue is not a confidentiality breach, but it can disrupt availability if an authorized account is misused or compromised.

Technical view

The issue is CWE-835 in MongoDB aggregation expression mathematics processing. A network-accessible, low-privileged authenticated query can trigger indefinite looping while retaining locks, causing high availability impact. Affected branches are 4.0 before 4.0.5, 3.6 before 3.6.10, and 3.4 before 3.4.19.

Likely exposure

Exposure is most likely in environments still running MongoDB Server 3.4, 3.6, or 4.0 below the fixed versions, especially where many application or user accounts can run database queries.

Exploitation context

The CVE record does not report active exploitation, and CISA KEV status is false in the provided bundle. Exploitation requires valid query authorization, so risk depends on account access, service exposure, and workload criticality.

Researcher notes

The public data identifies affected versions, CVSS 6.5, CWE-835, and a denial-of-service condition in aggregation expression math processing. The bundle does not include exploit details, proof-of-concept status, or broader product impact.

Mitigation direction

  • Upgrade affected MongoDB Server branches to 4.0.5, 3.6.10, 3.4.19, or later supported releases.
  • Restrict database query privileges to trusted accounts until upgraded.
  • Monitor for long-running aggregation queries and lock contention.
  • Review MongoDB SERVER-38070 and vendor guidance for deployment-specific instructions.

Validation and detection

  • Inventory MongoDB Server versions and compare them with the affected version ranges.
  • Confirm production and replica set members are on fixed or later supported versions.
  • Review accounts authorized to run database queries for least privilege.
  • Check operational monitoring for unusual long-running aggregation activity or lock contention.
Prepared
Confidence
high
Sources
3

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Potential ATT&CK relevance

Conservative CVE-to-ATT&CK context

These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.

ATT&CK lookup starting points

Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.

cwe · low confidence lookup

CWE-835: Exact CWE lookup

Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.

Open ATT&CK lookup
description · low confidence lookup

Database behavior lookup

The CVE wording references database injection or access, so collection and exfiltration review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.

Open ATT&CK lookup
cve · low confidence lookup

CVE-2018-20803 mapping review

Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.

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Vulnerability profileCVE Program record
Severity
Medium
CVSS
6.5 (3.1)
Known Exploited
No
Published

Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Official CVE source material

CNA and ADP enrichment extracted from CVE v5

These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.

1CVSS vectors
0Timeline events
0ADP providers
2Source links

CVSS vector scores

1 official score

We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.

ScoreVersionSeverityVectorExploitImpactSource
6.5CVSS 3.1MediumCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H2.83.6Primary CVE score

Vulnerability scoring details

Base CVSS 3.1 score

6.5Medium
CVSS 3.1 vector shape for CVE-2018-20803Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Attack Vector
NetworkAdjacentLocalPhysical
Attack Complexity
LowHigh
Privileges Required
NoneLowHigh
User Interaction
NoneRequired
Scope
ChangedUnchanged
Confidentiality Impact
HighLowNone
Integrity Impact
HighLowNone
Availability Impact
HighLowNone

Source materials

Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
MongoDB Inc.MongoDB Server4.0, 3.6, 3.4unaffected
Weakness

CWE details

CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.

CWE-835 · source CWE mapping

Loop with Unreachable Exit Condition ('Infinite Loop')

Loop with Unreachable Exit Condition ('Infinite Loop') represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.