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CVE-2026-71491 andialbrecht CVE debrief

CVE-2026-71491 sqlparse vulnerability allows for high CPU consumption through repeated rescanning of comment-only statements prior to version 0.6.0. This issue is fixed in version 0.6.0. The vulnerability impacts Python applications using the sqlparse module, allowing for potential high CPU consumption attacks. Defenders should assess exposure and prioritize upgrading to version 0.6.0 or later. The issue arises from group_comments in sqlparse/engine/grouping.py repeatedly rescanning comment-only statements before the MAX_GROUPING_TOKENS guard.

Vendor
andialbrecht
Product
sqlparse
CVSS
HIGH 8.7
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-17
Original CVE updated
2026-09-09
Advisory published
2026-08-17
Advisory updated
2026-09-09

Who should care

Defenders responsible for Python applications using the sqlparse module should assess exposure and prioritize upgrading to version 0.6.0 or later. This includes operators, platform administrators, vulnerability management teams, and security teams who manage or use Python applications that rely on the sqlparse module for SQL parsing.

Why it matters

CVE-2026-71491 sqlparse vulnerability allows for high CPU consumption through repeated rescanning of comment-only statements prior to version 0.6.0. Defenders should prioritize upgrading to version 0.6.0 or later.

  • Potential high CPU consumption attacks
  • Need to verify and upgrade to version 0.6.0 or later
  • Possible performance impact on SQL parsing

Technical summary

The sqlparse module for Python, prior to version 0.6.0, contains a vulnerability that allows for high CPU consumption through repeated rescanning of comment-only statements. This issue is fixed in version 0.6.0. The vulnerability impacts Python applications using the sqlparse module, allowing for potential high CPU consumption attacks. The issue arises from group_comments in sqlparse/engine/grouping.py repeatedly rescanning comment-only statements before the MAX_GROUPING_TOKENS guard. Defenders should prioritize upgrading to sqlparse version 0.6.0 or later to prevent potential high CPU consumption attacks.

Defensive priority

Defenders should prioritize upgrading to sqlparse version 0.6.0 or later to prevent potential high CPU consumption attacks.

Recommended defensive actions

  • Upgrade to sqlparse version 0.6.0 or later
  • Review and monitor SQL parsing usage in your application
  • Consider implementing compensating controls to limit potential CPU consumption
  • 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, including its description and affected versions. The sqlparse module for Python, prior to version 0.6.0, contains a vulnerability that allows for high CPU consumption through repeated rescanning of comment-only statements. This issue is fixed in version 0.6.0. The CVE Program record and NVD detail page offer source-provided CVE metadata and official vulnerability assessment.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-71491 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-71491

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

  • CVE-2026-71491 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-71491

    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.