CVE-2026-9753: CWE-1287 Improper validation of specified type of input in MongoDB MongoDB Server
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.
AI Analysis
Technical Summary
This vulnerability (CVE-2026-9753) in MongoDB Server arises from improper validation of the specified input type in the $_internalApplyOplogUpdate aggregation pipeline stage. An attacker with authenticated access and permission to run the aggregate command can supply a malformed binary diff document, potentially triggering memory out-of-bounds conditions or crashing the server. The CVSS 4.0 base score is 7.2, indicating high severity with network attack vector, low attack complexity, no privileges required beyond authenticated user, and no user interaction needed. No official remediation or patch information is currently available, and no known exploits have been reported in the wild.
Potential Impact
Successful exploitation can lead to memory corruption or server crashes, impacting availability of the MongoDB Server. Since any authenticated user with aggregate command access can trigger this, it may allow denial of service conditions. There is no indication of data confidentiality or integrity compromise from the provided data.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, restrict aggregate command access to trusted users only and monitor for unusual server crashes. No official fix or temporary workaround is currently documented.
CVE-2026-9753: CWE-1287 Improper validation of specified type of input in MongoDB MongoDB Server
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 v4.0
Score 7.2high
Affected software
pkg:github/mongodb/mongoRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability (CVE-2026-9753) in MongoDB Server arises from improper validation of the specified input type in the $_internalApplyOplogUpdate aggregation pipeline stage. An attacker with authenticated access and permission to run the aggregate command can supply a malformed binary diff document, potentially triggering memory out-of-bounds conditions or crashing the server. The CVSS 4.0 base score is 7.2, indicating high severity with network attack vector, low attack complexity, no privileges required beyond authenticated user, and no user interaction needed. No official remediation or patch information is currently available, and no known exploits have been reported in the wild.
Potential Impact
Successful exploitation can lead to memory corruption or server crashes, impacting availability of the MongoDB Server. Since any authenticated user with aggregate command access can trigger this, it may allow denial of service conditions. There is no indication of data confidentiality or integrity compromise from the provided data.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, restrict aggregate command access to trusted users only and monitor for unusual server crashes. No official fix or temporary workaround is currently documented.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mongodb
- Date Reserved
- 2026-05-27T17:49:08.204Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a2899f18dd33fbd859049d7
Added to database: 06/09/2026, 22:55:45 UTC
Last enriched: 06/17/2026, 16:05:33 UTC
Last updated: 07/31/2026, 19:23:00 UTC
Views: 103
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