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PatchSiren cyber security CVE debrief

CVE-2026-92207 MindsDB CVE debrief

A vulnerability in MindsDB's OpenBBtable class allows remote attackers to execute arbitrary code, requiring authentication. The issue arises from improper validation of user-supplied strings before executing Python code. Successful exploitation enables attackers to execute code in the service account context. This high-severity vulnerability requires defenders to assess exposure and prioritize remediation. The vulnerability exists due to a lack of proper validation of user-supplied input, which can lead to remote code execution.

Vendor
MindsDB
Product
Unknown
CVSS
HIGH 8.8
CISA KEV
Not listed in stored evidence
Original CVE published
2026-10-21
Original CVE updated
2026-10-30
Advisory published
2026-10-21
Advisory updated
2026-10-30

Who should care

Defenders and administrators of MindsDB installations should assess exposure and prioritize remediation due to the high CVSS score and authentication requirement. They should review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance. Additionally, they should plan vendor-supported updates or mitigations through normal change control where exposure is confirmed.

Why it matters

CVE-2026-92207 is a high-severity vulnerability in MindsDB's OpenBBtable class, allowing remote code execution with authentication. Defenders should prioritize remediation and verify exposure, especially in environments with untrusted access.

  • Remote code execution in the context of the service account
  • Potential for lateral movement and privilege escalation
  • Need for thorough input validation and authentication mechanisms

Technical summary

The vulnerability exists within the OpenBBtable class in MindsDB, allowing remote attackers to execute arbitrary code. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the service account. The vulnerability requires authentication to exploit and has a high CVSS score, indicating a high severity level. Defenders should prioritize remediation and verify exposure, especially in environments with untrusted access.

Defensive priority

High priority for authentication and input validation

Recommended defensive actions

  • Validate and sanitize user-supplied input to prevent code injection
  • Implement proper authentication and authorization mechanisms
  • Regularly update and patch MindsDB installations
  • 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 source item provide details on the vulnerability, including its existence within the OpenBBtable class and the requirement for authentication. The vulnerability allows remote attackers to execute arbitrary code on affected installations of MindsDB. The specific flaw exists within the OpenBBtable class. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-92207 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-92207

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

  • CVE-2026-92207 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-92207

    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.