CVE-2026-9101: CWE-1321: Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution') in MongoDB, Inc. Compass
Prototype pollution in csv parsing logic during import can lead to untrusted file paths (but not arguments) entering shell.openExternal after specific user behavior leading to "1-click" command execution.
AI Analysis
Technical Summary
This vulnerability (CVE-2026-9101) concerns improper control of object prototype attributes (CWE-1321) in MongoDB Compass's CSV import functionality. Specifically, the prototype pollution flaw allows untrusted file paths to enter the shell.openExternal function, enabling command execution with minimal user interaction. The affected versions span from 1.36.3 to 1.49.5. The CVSS 4.0 vector indicates network attack vector, low attack complexity, no privileges required, user interaction required, and low impact on confidentiality and integrity, with no impact on availability. No official patch or remediation guidance is currently available, and no exploits have been observed in the wild.
Potential Impact
Successful exploitation can lead to execution of commands via shell.openExternal triggered by untrusted file paths after user interaction. This could allow an attacker to execute arbitrary commands with the privileges of the Compass user. However, the attack requires specific user behavior and does not affect confidentiality, integrity, or availability significantly, resulting in a medium severity rating.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no official fix or remediation level is provided, users should exercise caution when importing CSV files from untrusted sources and avoid performing the specific user actions that trigger the vulnerability until a patch is available.
CVE-2026-9101: CWE-1321: Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution') in MongoDB, Inc. Compass
Description
Prototype pollution in csv parsing logic during import can lead to untrusted file paths (but not arguments) entering shell.openExternal after specific user behavior leading to "1-click" command execution.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability (CVE-2026-9101) concerns improper control of object prototype attributes (CWE-1321) in MongoDB Compass's CSV import functionality. Specifically, the prototype pollution flaw allows untrusted file paths to enter the shell.openExternal function, enabling command execution with minimal user interaction. The affected versions span from 1.36.3 to 1.49.5. The CVSS 4.0 vector indicates network attack vector, low attack complexity, no privileges required, user interaction required, and low impact on confidentiality and integrity, with no impact on availability. No official patch or remediation guidance is currently available, and no exploits have been observed in the wild.
Potential Impact
Successful exploitation can lead to execution of commands via shell.openExternal triggered by untrusted file paths after user interaction. This could allow an attacker to execute arbitrary commands with the privileges of the Compass user. However, the attack requires specific user behavior and does not affect confidentiality, integrity, or availability significantly, resulting in a medium severity rating.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no official fix or remediation level is provided, users should exercise caution when importing CSV files from untrusted sources and avoid performing the specific user actions that trigger the vulnerability until a patch is available.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mongodb
- Date Reserved
- 2026-05-20T16:03:25.137Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a0de26eba1db473628f2ed5
Added to database: 5/20/2026, 4:33:50 PM
Last enriched: 5/20/2026, 4:48:51 PM
Last updated: 5/20/2026, 6:37:45 PM
Views: 15
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