CVE-2026-93443 IBM CVE debrief

Who should care

Defenders responsible for IBM Langflow OSS deployments, especially those with remote authenticated access, should assess exposure and prioritize remediation.

Why it matters

CVE-2026-93443 is a high-severity vulnerability in IBM Langflow OSS that could allow remote authenticated attackers to execute arbitrary code. Defenders should prioritize verifying and remediating this vulnerability, especially in environments with remote authenticated access.

• Potential for remote authenticated attackers to execute arbitrary code
• Need for verification of Langflow OSS version and patch application
• Importance of restricting remote authenticated access to Langflow OSS deployments
• Monitoring Langflow OSS for suspicious activity

Technical summary

IBM Langflow OSS versions 1.0.0 through 1.12.2 are vulnerable to arbitrary code execution due to improper neutralization of special elements used in code. This vulnerability has a CVSS score of 7.5 and is considered high-severity. Defenders should prioritize verifying and remediating this vulnerability in IBM Langflow OSS deployments, especially in environments with remote authenticated access.

Defensive priority

Defenders should prioritize verifying and remediating this vulnerability in IBM Langflow OSS deployments, especially in environments with remote authenticated access.

Recommended defensive actions

• Verify IBM Langflow OSS version and apply patches if necessary
• Restrict remote authenticated access to Langflow OSS deployments
• Monitor Langflow OSS for suspicious activity

Evidence notes

The CVE record and source item provide details on the vulnerability, but limited information is available on exploitation or impact. Defenders should verify Langflow OSS version and apply patches if necessary. The vulnerability has a CVSS score of 7.5 and is considered high-severity. There is no information on known or unknown affected scope, but defenders should review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance.

Sources and 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.