An issue in MongoDB Server's handling of timeseries bucket lifecycle could allow an authenticated user with write privileges to cause an internal… (CVE-2026-18692)
A vulnerability in MongoDB Server's timeseries bucket lifecycle handling allows an authenticated user with write privileges to trigger use-after-free conditions. This can lead to server crashes or potentially unintended code execution. The issue is identified as CVE-2026-18692 with a high severity score of 8.8. No specific affected versions or patches are currently provided.
AI Analysis
Technical Summary
CVE-2026-18692 describes a use-after-free vulnerability in MongoDB Server related to the management of timeseries bucket lifecycle. An authenticated user with write privileges can cause an internal reference to be used after the underlying memory has been freed. This memory corruption may result in a server crash or potentially allow execution of unintended code. The vulnerability is classified under CWE-416 (Use After Free) and has a CVSS v3.1 score of 8.8, indicating high impact on confidentiality, integrity, and availability. No patch or remediation information is currently available, and no known exploits in the wild have been reported.
Potential Impact
Successful exploitation can cause denial of service through server crashes or potentially enable execution of unintended code, impacting confidentiality, integrity, and availability of the MongoDB Server. The attacker must be authenticated with write privileges, limiting the attack surface to authorized users.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict write privileges to trusted users only and monitor for unusual activity related to timeseries data handling.
An issue in MongoDB Server's handling of timeseries bucket lifecycle could allow an authenticated user with write privileges to cause an internal… (CVE-2026-18692)
Description
A vulnerability in MongoDB Server's timeseries bucket lifecycle handling allows an authenticated user with write privileges to trigger use-after-free conditions. This can lead to server crashes or potentially unintended code execution. The issue is identified as CVE-2026-18692 with a high severity score of 8.8. No specific affected versions or patches are currently provided.
CVSS v3.1
Score 8.8high
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-18692 describes a use-after-free vulnerability in MongoDB Server related to the management of timeseries bucket lifecycle. An authenticated user with write privileges can cause an internal reference to be used after the underlying memory has been freed. This memory corruption may result in a server crash or potentially allow execution of unintended code. The vulnerability is classified under CWE-416 (Use After Free) and has a CVSS v3.1 score of 8.8, indicating high impact on confidentiality, integrity, and availability. No patch or remediation information is currently available, and no known exploits in the wild have been reported.
Potential Impact
Successful exploitation can cause denial of service through server crashes or potentially enable execution of unintended code, impacting confidentiality, integrity, and availability of the MongoDB Server. The attacker must be authenticated with write privileges, limiting the attack surface to authorized users.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict write privileges to trusted users only and monitor for unusual activity related to timeseries data handling.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-5v9h-3hj6-76w4
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2026-18692"]
- Ecosystems
- []
- Database Specific Severity
- HIGH
- Cvss Version
- 3.1
Threat ID: 6a7c9b72bf8831d539ce06c3
Added to database: 08/12/2026, 16:12:34 UTC
Last enriched: 08/12/2026, 17:28:14 UTC
Last updated: 08/13/2026, 02:41:00 UTC
Views: 3
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