PatchSiren cyber security CVE debrief
CVE-2026-93635 Zimbra CVE debrief
A vulnerability in Zimbra Collaboration Suite allows unauthenticated attackers to inject LDAP filter input, potentially creating a password oracle for external directory users. This issue affects Zimbra Collaboration Suite versions 10.1.0 through 10.1.21. The vulnerability can be exploited by injecting malicious LDAP filter input, which can lead to unauthorized access to sensitive information. Defenders should prioritize verifying and patching affected Zimbra Collaboration Suite instances, especially those using search-filter authentication and lazy provisioning.
- Vendor
- Zimbra
- Product
- Zimbra Collaboration Suite
- CVSS
- MEDIUM 5.3
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-10-14
- Original CVE updated
- 2026-10-16
- Advisory published
- 2026-10-14
- Advisory updated
- 2026-10-16
Who should care
Defenders responsible for Zimbra Collaboration Suite instances, especially those using search-filter authentication and lazy provisioning, should assess exposure and prioritize patching.
Why it matters
Defenders should prioritize verifying and patching affected Zimbra Collaboration Suite instances, especially those using search-filter authentication and lazy provisioning, as this vulnerability allows unauthenticated attackers to inject LDAP filter input.
- Potential creation of a password oracle for external directory users
- Unauthenticated attackers can alter external LDAP search filters
- Authenticated S/MIME lookups can return certificates and identity data for unintended directory entries
Technical summary
The vulnerability allows unauthenticated attackers to inject LDAP filter input, potentially creating a password oracle for external directory users. This issue affects Zimbra Collaboration Suite versions 10.1.0 through 10.1.21. The vulnerability is caused by the lack of proper input validation in the computeDn() function, which allows attackers to inject malicious LDAP filter input. This can lead to unauthorized access to sensitive information and potentially allow attackers to alter external LDAP search filters. Authenticated S/MIME lookups can also return certificates and identity data for unintended directory entries.
Defensive priority
Defenders should prioritize verifying and patching affected Zimbra Collaboration Suite instances, especially those using search-filter authentication and lazy provisioning.
Recommended defensive actions
- Verify and patch affected Zimbra Collaboration Suite instances
- Review authentication and provisioning configurations
- Monitor for potential exploitation attempts
- Perform vulnerability scanning to identify exposed instances
- Implement compensating controls for exposed systems
- Review asset inventory to ensure all instances are accounted for
- Track exceptions and retest remediated assets
Evidence notes
The CVE record and source item provide details on the vulnerability, its impact, and affected versions. However, additional information from official sources may be necessary to fully assess the vulnerability.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-93635 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-93635
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-93635 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-93635
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Zimbra Collaboration Suite LDAP Filter Injection via Unescaped computeDn() Template Substitution
Unverified legacy reference
URL: https://raw.githubusercontent.com/CVEProject/cvelistV5/main/cves/2026/93xxx/CVE-2026-93635.json
cve_program_cvelist_v5
-
Source reference
Unverified legacy reference
URL: https://www.rapid7.com/blog/post/ve-breaking-zimbra-identity-boundaries-part-1
Supplemental source - third-party-advisory
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.