CVE-2025-59028: Open-Xchange OX Dovecot Pro · Improper Input Validation
Affects Open-Xchange OX Dovecot ProSource CVE Database V5
Not known to be exploited · CVSS 5.3 Medium.
Data as of 30 Oct 2026, 11:52 UTC
- EPSS
- 0.4% chance of exploitation in 30 days – higher than 40% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:LExploitation evidence
Disclosed: evidence found.
CVE published 27 Mar 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: 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 30 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Open-Xchange GmbHOX Dovecot Pro | Affected
| Fixed in– |
AI-suggested
A fixed version of OX Dovecot Pro addressing this vulnerability should be installed when available. Alternatively, concurrency in login processes can be disabled to mitigate the issue, but this results in significant performance degradation in large deployments. Patch status is not explicitly confirmed in the provided data; users should monitor the vendor advisory for official fixes.
Description
CVE-2025-59028 is a medium severity vulnerability in Open-Xchange GmbH's OX Dovecot Pro where improper input validation of base64 SASL data causes the login process to disconnect from the authentication server. This results in denial of service by breaking all active authentication sessions and preventing concurrent logins. No public exploits are known. Mitigation involves installing a fixed version or disabling concurrency in login processes, though the latter causes significant performance degradation in large deployments.