CVE-2026-5170

March 30, 2026, 4:16 p.m.

6.0
Medium

Description

A user with access to the cluster with a limited set of privilege actions can trigger a crash of a mongod process during the limited and unpredictable window when the cluster is being promoted from a replica set to a sharded cluster. This may cause a denial of service by taking down the primary of the replica set. This issue affects MongoDB Server v8.2 versions prior to 8.2.2, MongoDB Server v8.0 versions between 8.0.18, MongoDB Server v7.0 versions between 7.0.31.

Product(s) Impacted

Vendor Product Versions
Mongodb
  • Mongodb Server
  • <8.2.2, 8.0.18, 7.0.31

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-617
Reachable Assertion
The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a mongodb mongodb_server <8.2.2 / / / / / / /
a mongodb mongodb_server 8.0.18 / / / / / / /
a mongodb mongodb_server 7.0.31 / / / / / / /

CVSS Score

6.0 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:H/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

    View Vector String

Timeline

Published: March 30, 2026, 4:16 p.m.
Last Modified: March 30, 2026, 4:16 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.