PatchSiren cyber security CVE debrief
CVE-2026-54771 langroid CVE debrief
CVE-2026-54771 is a vulnerability in the Langroid framework that allows direct tool invocation via raw JSON payloads when tools are registered with `use=False, handle=True`. This issue was fixed in version 0.65.3. The vulnerability arises when the application exposes a chat interface to untrusted users. Users of Langroid framework versions prior to 0.65.3 who expose chat interfaces to untrusted users should update to version 0.65.3 to prevent potential exploitation. The vulnerability has a high CVSS score of 8.1 and is considered a high priority due to the potential for exploitation via direct tool invocation.
- Vendor
- langroid
- Product
- Unknown
- CVSS
- HIGH 8.1
- 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 0.65.3 who expose chat interfaces to untrusted users should update to version 0.65.3 to prevent potential exploitation. This includes operators, platform administrators, vulnerability management teams, and security teams who may be impacted by the vulnerability. Affected users should review and restrict tool registrations to prevent exploitation and monitor for suspicious activity in chat interfaces.
Technical summary
The Langroid framework, used for building large-language-model-powered applications, had a vulnerability that allowed direct tool invocation via raw JSON payloads. This issue arose when tools were registered with `use=False, handle=True`, and the application exposed a chat interface to untrusted users. The vulnerability was addressed in version 0.65.3. Affected users should review and restrict tool registrations to prevent exploitation and monitor for suspicious activity in chat interfaces. The vulnerability has a high CVSS score of 8.1 and is considered a high priority due to the potential for exploitation via direct tool invocation.
Defensive priority
High priority due to the potential for exploitation via direct tool invocation.
Recommended defensive actions
- Update Langroid to version 0.65.3 or later
- Review and restrict tool registrations to prevent exploitation
- Monitor for suspicious activity in chat interfaces
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
- 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
Evidence notes
Evidence is based on official CVE and NVD records, as well as a security advisory from GitHub. The Langroid framework vulnerability allows direct tool invocation via raw JSON payloads when tools are registered with `use=False, handle=True`. This issue was fixed in version 0.65.3. Affected users should review and restrict tool registrations to prevent exploitation and monitor for suspicious activity in chat interfaces. The CVE record was published on 2026-07-10T00:16:33.737Z and has not been modified since then. No additional information is available on the affected scope, severity, or vendor guidance.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-54771 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-54771
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-54771 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-54771
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://github.com/langroid/langroid/security/advisories/GHSA-gjgq-w2m6-wr5q
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.