CVE-2025-6711: MongoDB Server · Sensitive Data in Logs
Affects MongoDB ServerSource CVE Database V5
Not known to be exploited · CVSS 4.4 Medium · fixed in 8.0.5 : update MongoDB Server when convenient.
Data as of 26 Oct 2026, 12:29 UTC
- EPSS
- 0.2% chance of exploitation in 30 days – higher than 20% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 8.0.5, 7.0.18, 6.0.21
CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:H/I:N/A:NExploitation evidence
Disclosed: evidence found.
CVE published 7 Jul 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Upgrade MongoDB Server to 8.0.5, 7.0.18 or 6.0.21.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| MongoDB Inc MongoDB Server | Affected
| Fixed in
|
AI-suggested
A fix is available in MongoDB Server versions 6.0.21, 7.0.18, and 8.0.5. Users should upgrade to these or later versions to remediate the vulnerability. No additional mitigation steps are indicated by the vendor advisory. Patch status is confirmed by the version information specifying fixed versions.
Description
CVE-2025-6711 is a vulnerability in MongoDB Server where sensitive information from unredacted queries may be logged in server logs under certain error conditions. This affects MongoDB Server versions 6.0 prior to 6.0.21, 7.0 prior to 7.0.18, and 8.0 prior to 8.0.5. The vulnerability has a medium severity with a CVSS score of 4.4. It does not involve integrity or availability impacts but can lead to confidentiality breaches due to sensitive data exposure in logs.