CVE-2026-9753
Analyzed Analyzed - Analysis Complete

MongoDB $_internalApplyOplogUpdate Memory Corruption Vulnerability

Vulnerability report for CVE-2026-9753, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-06-09

Last updated on: 2026-06-18

Assigner: MongoDB, Inc.

Description

The $_internalApplyOplogUpdate aggregation pipeline stage can be used to execute a document diff containing a malformed binary diff to return memory out-of-bounds or crash the server. $_internalApplyOplogUpdate can be executed by any authenticated user with access to the aggregate command.

CVSS Scores

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Meta Information

Published
2026-06-09
Last Modified
2026-06-18
Generated
2026-06-30
AI Q&A
2026-06-10
EPSS Evaluated
2026-06-28
NVD
EUVD

Affected Vendors & Products

Showing 4 associated CPEs
Vendor Product Version / Range
mongodb mongodb to 7.0.35 (exc)
mongodb mongodb From 8.0.0 (inc) to 8.0.24 (exc)
mongodb mongodb From 8.2.0 (inc) to 8.2.10 (exc)
mongodb mongodb From 8.3.0 (inc) to 8.3.3 (exc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-787 The product writes data past the end, or before the beginning, of the intended buffer.
CWE-1287 The product receives input that is expected to be of a certain type, but it does not validate or incorrectly validates that the input is actually of the expected type.

Attack-Flow Graph

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Executive Summary

This vulnerability involves the $_internalApplyOplogUpdate aggregation pipeline stage in MongoDB. It can be exploited by any authenticated user with access to the aggregate command by using a document diff containing a malformed binary diff. This malformed input can cause the server to return memory out-of-bounds or crash.

Impact Analysis

The vulnerability can lead to a server crash or memory corruption, which may cause denial of service or instability in the MongoDB server. Since any authenticated user with aggregate command access can exploit it, this could disrupt database availability and reliability.

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