CVE-2025-13644

Dec. 11, 2025, 11:19 p.m.

7.1
High

Description

MongoDB Server may experience an invariant failure during batched delete operations when handling documents. The issue arises when the server mistakenly assumes the presence of multiple documents in a batch based solely on document size exceeding BSONObjMaxSize. This issue affects MongoDB Server v7.0 versions prior to 7.0.26, MongoDB Server v8.0 versions prior to 8.0.13, and MongoDB Server v8.1 versions prior to 8.1.2

Product(s) Impacted

Vendor Product Versions
Mongodb
  • Mongodb
  • *, 8.2.0

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 / / / / - / / /
a mongodb mongodb / / / / - / / /
a mongodb mongodb / / / / - / / /
a mongodb mongodb 8.2.0 alpha / / - / / /
a mongodb mongodb 8.2.0 alpha0 / / - / / /
a mongodb mongodb 8.2.0 alpha1 / / - / / /
a mongodb mongodb 8.2.0 alpha2 / / - / / /

CVSS Score

7.1 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • 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: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

    View Vector String

Timeline

Published: Nov. 25, 2025, 6:15 a.m.
Last Modified: Dec. 11, 2025, 11:19 p.m.

Status : Analyzed

CVE has had analysis completed and all data associations made.

More info

Source

cna@mongodb.com

*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.