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CVE-2026-54760 langroid CVE debrief

Langroid framework vulnerability CVE-2026-54760 allows SQL injection via bypass of regex blocklist. The CVE record was published on 2026-07-10T00:16:33.477Z and has not been modified since then. This critical vulnerability arises from a bypassable regex blocklist in the SQLChatAgent, which allows attackers to execute PostgreSQL functions, including the previously blocked pg_read_file function. The vulnerability was introduced due to the blocklist's inadequacy in handling function names separated from parentheses by quoted identifiers, inline comments, or schema qualifications. Langroid framework versions prior to 0.65.1 are affected.

Vendor
langroid
Product
Unknown
CVSS
CRITICAL 9.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-07-10
Original CVE updated
2026-07-10
Advisory published
2026-07-10
Advisory updated
2026-07-10

Who should care

Users of Langroid framework versions prior to 0.65.1 should apply patches to prevent SQL injection attacks. Affected operators and platforms should review their deployments and assign owners for follow-up. Vulnerability management and security teams should prioritize patching and monitor for suspicious SQL activity.

Technical summary

CVE-2026-54760 is a critical SQL injection vulnerability in the Langroid framework. The vulnerability arises from a bypassable regex blocklist in the SQLChatAgent, which allows attackers to execute PostgreSQL functions, including the previously blocked pg_read_file function. This issue was introduced due to the blocklist's inadequacy in handling function names separated from parentheses by quoted identifiers, inline comments, or schema qualifications. The vulnerability allows for arbitrary SQL execution and has a CVSS score of 9.3.

Defensive priority

High priority should be given to patching Langroid framework installations, as this vulnerability allows for arbitrary SQL execution. Defensive measures include reviewing compensating controls for exposed systems, checking relevant monitoring and detection logs, and tracking exceptions.

Recommended defensive actions

  • Apply patches by upgrading to Langroid version 0.65.1 or later
  • Review and update SQLChatAgent configurations to ensure the allowlist and blocklist are properly set
  • Monitor for suspicious SQL activity
  • Perform inventory checks for Langroid framework usage
  • Implement compensating controls, such as Web Application Firewalls (WAFs), to detect and prevent SQL injection attacks
  • 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

Evidence notes

The CVE record and NVD entry provide details on the vulnerability. The Langroid framework's security advisory (GHSA-6xc5-4r68-67fc) also offers insights into the issue. Evidence limits suggest that Langroid framework users should verify their deployments and apply patches. Defensive verification tasks include reviewing official advisories, tracking exceptions, and checking relevant monitoring and logs. The CVE record was published on 2026-07-10T00:16:33.477Z and has not been modified since then. No additional information is available on the vulnerability's scope or potential impact beyond the Langroid framework.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-54760 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-54760

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

  • CVE-2026-54760 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-54760

    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.