8.8
HIGH CVSS 3.1
CVE-2026-8053
FlatBSON Duplicate Field Index Drift
Description

An issue in MongoDB Server's time-series collection implementation allows an authenticated user with database write privileges to trigger an out-of-bounds memory write in the mongod process. The issue results from an inconsistency in the internal field-name-to-index mapping within the time-series bucket catalog. Under certain conditions this can result in arbitrary code execution. This issue impacts MongoDB Server v5.0 versions prior to 5.0.33, v6.0 versions prior to 6.0.28, v7.0 versions prior to 7.0.34, v8.0 versions prior to 8.0.23, v8.2 versions prior to 8.2.9 and v8.3 versions prior to 8.3.2.

INFO

Published Date :

May 13, 2026, 4:17 a.m.

Last Modified :

May 18, 2026, 1:06 p.m.

Remotely Exploit :

Yes !
Affected Products

The following products are affected by CVE-2026-8053 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

ID Vendor Product Action
1 Mongodb mongodb
CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 NONE a39b4221-9bd0-4244-95fc-f3e2e07f1deb
CVSS 3.1 HIGH MITRE-CVE
CVSS 3.1 HIGH [email protected]
CVSS 4.0 HIGH a39b4221-9bd0-4244-95fc-f3e2e07f1deb
CVSS 4.0 HIGH [email protected]
Solution
Update MongoDB Server to a patched version to fix memory corruption vulnerability.
  • Update MongoDB Server to the latest version.
  • Verify database write privileges.
  • Monitor for memory corruption issues.
Public PoC/Exploit Available at Github

CVE-2026-8053 has a 2 public PoC/Exploit available at Github. Go to the Public Exploits tab to see the list.

References to Advisories, Solutions, and Tools

Here, you will find a curated list of external links that provide in-depth information, practical solutions, and valuable tools related to CVE-2026-8053.

URL Resource
https://jira.mongodb.org/browse/SERVER-126021 Patch Vendor Advisory
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2026-8053 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2026-8053 weaknesses.

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

None

Python C# TSQL XSLT Yacc CSS JavaScript Shell Makefile Assembly

Updated: 1 week, 6 days ago
0 stars 0 fork 0 watcher
Born at : May 18, 2026, 12:03 p.m. This repo has been linked 12 different CVEs too.

Desc "CVE-2026-8053 CHECKER"-20260518-16h30-GMT+7

Shell

Updated: 2 weeks, 2 days ago
0 stars 0 fork 0 watcher
Born at : May 18, 2026, 9:29 a.m. This repo has been linked 1 different CVEs too.

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2026-8053 vulnerability anywhere in the article.

  • CybersecurityNews
Critical MongoDB Vulnerability Allow Attackers to Execute Arbitrary Code

A newly disclosed critical vulnerability in MongoDB could allow threat actors to execute arbitrary code, potentially handing them complete control over affected servers and exposing millions of record ... Read more

Published Date: May 14, 2026 (2 weeks, 6 days ago)

The following table lists the changes that have been made to the CVE-2026-8053 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • Initial Analysis by [email protected]

    May. 18, 2026

    Action Type Old Value New Value
    Added CPE Configuration OR *cpe:2.3:a:mongodb:mongodb:*:*:*:*:*:*:*:* versions from (including) 5.0.0 up to (excluding) 5.0.33 *cpe:2.3:a:mongodb:mongodb:*:*:*:*:*:*:*:* versions from (including) 6.0.0 up to (excluding) 6.0.28 *cpe:2.3:a:mongodb:mongodb:*:*:*:*:*:*:*:* versions from (including) 7.0.0 up to (excluding) 7.0.34 *cpe:2.3:a:mongodb:mongodb:*:*:*:*:*:*:*:* versions from (including) 8.0.0 up to (excluding) 8.0.23 *cpe:2.3:a:mongodb:mongodb:*:*:*:*:*:*:*:* versions from (including) 8.2.0 up to (excluding) 8.2.9 *cpe:2.3:a:mongodb:mongodb:*:*:*:*:*:*:*:* versions from (including) 8.3.0 up to (excluding) 8.3.2
    Added Reference Type MongoDB, Inc.: https://jira.mongodb.org/browse/SERVER-126021 Types: Patch, Vendor Advisory
  • New CVE Received by [email protected]

    May. 13, 2026

    Action Type Old Value New Value
    Added Description An issue in MongoDB Server's time-series collection implementation allows an authenticated user with database write privileges to trigger an out-of-bounds memory write in the mongod process. The issue results from an inconsistency in the internal field-name-to-index mapping within the time-series bucket catalog. Under certain conditions this can result in arbitrary code execution. This issue impacts MongoDB Server v5.0 versions prior to 5.0.33, v6.0 versions prior to 6.0.28, v7.0 versions prior to 7.0.34, v8.0 versions prior to 8.0.23, v8.2 versions prior to 8.2.9 and v8.3 versions prior to 8.3.2.
    Added CVSS V4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/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
    Added CVSS V3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
    Added CWE CWE-787
    Added Reference https://jira.mongodb.org/browse/SERVER-126021
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.