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MongoDB Node.js Driver EUVDEUVD-2026-115819

| CVE-2026-119179 HIGH
Sensitive Information in Resource Not Removed Before Reuse (CWE-226)
2026-11-03 mongodb
8.3
CVSS 4.0 · Vendor: mongodb
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Send ordinary requests to application
  2. Delivery
    Earlier operation hits client-side timeout
  3. Exploit
    Connection returned to pool with outstanding reply
  4. Execution
    Reply mispaired to attacker's request
  5. Impact
    Receive other users' database records

Vulnerability Assessment

Weakness
CWE
ASVS 5.0
V14 - Data Protection Sensitive info in resource not removed before reuse
Exploitation Conditions

Exploitation requires the application to have enabled the optional client-side operation timeout feature of the MongoDB Node.js driver (e.g. a configured operation timeout); the description states the response-mispairing occurs specifically in applications that enable this timeout, so deployments without it are not affected. Given the timeout, an unauthenticated party that can send ordinary requests to the application can trigger the condition - no authentication (PR:N) or user interaction (UI:N) is needed. Limiting factors: the flaw depends on this non-default timeout configuration and on an earlier operation actually timing out and leaving outstanding data on a pooled connection (reflected as AT:P / attack requirements present), so exploitation is opportunistic and timing-dependent rather than deterministic on default configurations.

Impact

Signals are mixed and point to a genuine but conditional priority rather than an emergency. The supplied CVSS 4.0 vector (AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:L/VA:L) yields 8.3 (High): network-reachable, no authentication (PR:N), no user interaction, high confidentiality impact from cross-user data disclosure, with lower integrity/availability impact (wrong results and failed requests). Critically, the vector sets AT:P (attack requirements present), which aligns with the description's gating condition - the flaw is only reachable when the application enables the optional client-side operation timeout - so this is not an unconditional remote info-leak against default settings. No EPSS score, no CISA KEV entry, and no exploit/PoC reference are present in the input, so exploitation likelihood cannot be quantified from the data. The vuln.today Decision label is 'this_week' (not act_now/emergency), consistent with a high-severity, vendor-reported issue lacking evidence of active exploitation. Net: a real priority to patch this week because the confidentiality impact (other users' records) is serious and no authentication is needed, but the config-dependent trigger and absence of exploitation signals argue against treating it as a drop-everything emergency. Missing data to note explicitly: no EPSS, no KEV status, and no fixed-version information are included in the provided sources.

Exploit ScenarioDerived

An application uses the MongoDB Node.js driver with the optional client-side operation timeout enabled. An unauthenticated user sends ordinary requests to the application; when an earlier operation times out, its connection is returned to the pool while a reply is still outstanding, so a later request on that reused connection is paired with the wrong database reply and receives another user's records or an incorrect result. No public exploit was identified at time of analysis.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
Patch available

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AnalysisAIv1 – Nov 03, 2026

Response mispairing in the MongoDB Node.js driver can return one request's database reply to a different request, potentially disclosing other users' records and producing incorrect results or failed legitimate requests when an application enables the optional client-side operation timeout. An unauthenticated remote party able to send ordinary requests through such an application can trigger the condition, but exploitation is opportunistic and timing-dependent because an earlier operation must time out and leave data outstanding on a pooled connection. No public exploit or active exploitation is identified in the available data, and the decision label is this_week rather than emergency.

RemediationAI

No exact fixed driver version is identified in the available data; track MongoDB JIRA NODE-7958 (https://jira.mongodb.org/browse/NODE-7958) and upgrade the MongoDB Node.js driver to the release that resolves it once published. The workaround supported by the described precondition is to disable the optional client-side operation timeout, because the mispairing requires that feature; the trade-off is loss of client-side timeout enforcement, so long-running or stalled operations may persist longer and hold application and connection resources. Re-enable the timeout only after upgrading to a fixed driver version and confirming the fix in NODE-7958.

Affected VersionsENISA

Node.js Driver 7.0.0 <7.8.0
Node.js Driver 6.11.0 <6.22.0

Affected Packages

euvd node_js_driver fix: 6.22.0, 7.8.0

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in euvd

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

The issue is in the MongoDB Node.js driver's connection pool, the component that lends pooled network connections to operations and returns them for reuse. A connection can be placed back in the pool while data from an earlier operation is still outstanding, so a later request may read a stale database reply; this matches CWE-226, Sensitive Information in Resource Not Removed Before Reuse. The condition is tied to the driver's optional client-side operation timeout: when that non-default feature is enabled and an earlier operation times out, the abandoned operation can leave unread data on the pooled connection. The supplied sources do not describe the precise pool-state sequence beyond the timeout condition. The CVSS:4.0 vector's AT:P and the independent CVSS:3.1 AC:H reflect that attack requirements and timing/configuration dependencies limit exploitation; confidentiality impact is high, with low integrity and availability impact.

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Severity by source

Vendor (mongodb) PRIMARY 8.3 HIGH
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:L/VA:L/SC:N/SI:N/SA:N
vuln.today AI 7.0 HIGH

AV:N and PR:N as unauthenticated clients trigger it; AC:H because it depends on the opt-in timeout and an operation actually timing out; C:H for cross-user disclosure, I:L/A:L for wrong results and failed requests.

3.1 AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:L/A:L
4.0 AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:L/VA:L/SC:N/SI:N/SA:N

Primary rating from Vendor (mongodb).

CVSS VectorVendor: mongodb

Attack Vector
Network
Attack Complexity
Low
Attack Requirements
Present
Privileges Required
None
User Interaction
None
Vulnerable system: Confidentiality
High
Vulnerable system: Integrity
Low
Vulnerable system: Availability
Low
Subsequent system: Confidentiality
None
Subsequent system: Integrity
None
Subsequent system: Availability
None

Lifecycle Timeline

2
Patch available
Nov 03, 2026 - 15:02 EUVD
CVE Published
Nov 03, 2026 - 13:33 cve.org
HIGH 8.3

DescriptionCVE.org

A flaw in the connection management layer of the MongoDB Node.js driver can leave a pooled network connection in the pool for reuse while data from an earlier operation is still outstanding on it. In applications that enable an optional client-side operation timeout, an unauthenticated party that can send ordinary requests to the application may cause database replies to be paired with the wrong requests. This may result in unintended disclosure of other users' records, incorrect operation results being returned, and failures of legitimate requests.

Executive ViewAI

Why It Matters

A high-severity flaw in the MongoDB Node.js driver can cause database responses to be misrouted between concurrent requests, potentially exposing other users' records or corrupting application logic. This affects any service using the optional client-side operation timeout, creating both data privacy and operational reliability risks that warrant management attention due to the possible disclosure of sensitive information and resulting trust and compliance implications.

Business Impact: High
Compensating Controls

No vendor-released patch identified at time of analysis; interim mitigations include disabling the optional client-side operation timeout, limiting connection pool concurrency, and isolating high-sensitivity workloads to dedicated pools or database users.

Threat Intelligence Overview

Prevalence
High
official MongoDB driver, among the most-used Node.js database clients
Data Quality
3 sources
Confidence: Low

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS N/A
Patch available Yes
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation· derived
None
System Exposure· derived
Open
Automatable· derived
Yes
Human Impact
High

Priority Score

42
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +42
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.

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References

Advisories & patches

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