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PatchSiren cyber security CVE debrief

CVE-2026-22591 eProsima CVE debrief

A vulnerability in eprosima Fast DDS's SQL-based content filtering implementation allows remote participants to crash other Fast DDS participants by sending a crafted SEDP DATA submessage. This issue is fixed in versions 2.6.12, 2.14.6, 3.2.4, and 3.4.3. The vulnerability can be exploited by sending a deeply nested filter expression, which can cause a denial-of-service attack. Defenders should be aware of the potential impact and take steps to mitigate the vulnerability. The CVE record and NVD entry provide details on the vulnerability and affected versions.

Vendor
eProsima
Product
Fast-DDS
CVSS
HIGH 7.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-09
Original CVE updated
2026-09-14
Advisory published
2026-09-09
Advisory updated
2026-09-14

Who should care

Defenders responsible for systems using eprosima Fast DDS should assess exposure and prioritize updates to fixed versions. They should also review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance. Additionally, defenders should verify the affected versions and update to fixed versions to prevent crashes. Defenders should also monitor for potential crashes and review compensating controls for exposed

Why it matters

Defenders should care about CVE-2026-22591 because it allows remote participants to crash other Fast DDS participants, potentially disrupting DDS-based services. Affected systems should be updated to fixed versions to prevent crashes.

  • Potential crashes of Fast DDS participants
  • Need to verify and update affected systems
  • Possible disruption of DDS-based services

Technical summary

The vulnerability in eprosima Fast DDS's SQL-based content filtering implementation allows remote participants to crash other Fast DDS participants by sending a crafted SEDP DATA submessage with a deeply nested filter expression. This can cause a denial-of-service attack, and defenders should be aware of the potential impact and take steps to mitigate the vulnerability. The issue is fixed in versions 2.6.12, 2.14.6, 3.2.4, and 3.4.3. The CVE record and NVD entry provide details on the vulnerability and affected versions.

Defensive priority

Defenders should prioritize updating to fixed versions to prevent potential crashes.

Recommended defensive actions

  • Update to version 2.6.12, 2.14.6, 3.2.4, or 3.4.3 or later
  • Review and update affected systems
  • Monitor for potential crashes
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
  • Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review

Evidence notes

The CVE record and NVD entry provide details on the vulnerability and affected versions. The vulnerability is caused by a flaw in the SQL-based content filtering implementation, which allows remote participants to crash other Fast DDS participants. The issue is fixed in versions 2.6.12, 2.14.6, 3.2.4, and 3.4.3. Defenders should verify the affected versions and update to fixed versions to prevent crashes. The source detail is limited, and explicit evidence-limit language and defensive verification tasks are necessary to verify the fix

Sources and references

Verified primary and authoritative sources

  • CVE-2026-22591 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-22591

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-22591 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-22591

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

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.