PatchSiren

PatchSiren cyber security CVE debrief

CVE-2026-6093 cortezaproject CVE debrief

A SQL injection vulnerability exists in Corteza's Microsoft SQL Server (MSSQL) backend when filtering Compose records by the meta field, affecting version 2024.9.8. This issue has a CVSS score of 6, indicating medium severity. The vulnerability is exploitable via network, requires low attack complexity, and can result in high impact on confidentiality and low impact on integrity. Defenders should verify the presence of this vulnerability in their Corteza instances, assess potential impact, and prioritize remediation to prevent data breaches. The CVE record and NVD entry provide details, but additional information on exploitation or remediation is limited.

Vendor
cortezaproject
Product
corteza
CVSS
MEDIUM 6
CISA KEV
Not listed in stored evidence
Original CVE published
2026-05-11
Original CVE updated
2026-09-24
Advisory published
2026-05-11
Advisory updated
2026-09-24

Who should care

Defenders responsible for Corteza instances, particularly those using version 2024.9.8, should assess their exposure and potential impact. This includes IT security teams, system administrators, and developers working with Corteza.

Why it matters

CVE-2026-6093 is a SQL injection vulnerability in Corteza's MSSQL backend. Defenders should verify exposure, assess potential impact, and prioritize remediation to prevent data breaches.

  • Verify the presence of vulnerable Corteza versions in your environment
  • Assess potential data exposure or integrity risks due to SQL injection
  • Prioritize patching or mitigating the vulnerability to prevent potential data breaches
  • Monitor for potential exploitation attempts or anomalies in Corteza logs

Technical summary

The CVE-2026-6093 vulnerability is a SQL injection issue in the Microsoft SQL Server (MSSQL) backend of Corteza when filtering Compose records by the meta field. This affects Corteza version 2024.9.8. The CVSS score is 6, indicating medium severity. The vulnerability can be exploited over the network with low attack complexity, potentially resulting in high confidentiality impact and low integrity impact.

Defensive priority

Defenders should prioritize verifying the presence of this vulnerability in their Corteza instances and assess the potential impact on their systems.

Recommended defensive actions

  • Verify the presence of Corteza version 2024.9.8 in your environment
  • Assess the potential impact of the SQL injection vulnerability on your systems
  • Consider applying patches or mitigations as recommended by the vendor
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its CVSS score and affected version. However, additional information on exploitation or remediation is limited. Defenders should verify exposure, assess potential impact, and prioritize remediation to prevent data breaches. The vulnerability affects Corteza version 2024.9.8, and its MSSQL backend is susceptible to SQL injection attacks when filtering Compose records by the meta field.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-6093 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-6093

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

  • CVE-2026-6093 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-6093

    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.