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CVE-2026-12944 IBM CVE debrief

IBM Langflow OSS versions 1.0.0 through 1.10.0 are vulnerable to arbitrary Python code execution with root privileges. Attackers can submit components containing socket or urllib imports to exploit this vulnerability, potentially leading to AWS credential theft, arbitrary file exfiltration, and lateral movement within the Docker network. Langflow server administrators and security teams should assess exposure and apply patches or mitigations to prevent potential security breaches and protect sensitive data.

Vendor
IBM
Product
Langflow OSS
CVSS
CRITICAL 9.6
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-14
Original CVE updated
2026-11-03
Advisory published
2026-09-14
Advisory updated
2026-11-03

Who should care

Langflow server administrators, security teams, and users with access to the Langflow server should assess exposure and apply patches or mitigations to prevent potential security breaches. Additionally, operators and platform administrators responsible for managing and securing the Langflow server and its components should also be aware of this vulnerability and take necessary actions to protect against potential threats.

Why it matters

CVE-2026-12944 allows attackers to execute arbitrary Python code with root privileges on IBM Langflow OSS 1.0.0 through 1.10.0, enabling AWS credential theft, file exfiltration, and lateral movement. Langflow server administrators and security teams should verify exposure and apply patches or mitigations.

  • Potential AWS credential theft via IMDSv1 SSRF with full IAM role permissions.
  • Arbitrary file exfiltration from the container filesystem.
  • Lateral movement to internal services (PostgreSQL, Redis) within the Docker network.
  • Verification of Langflow server exposure and patch application.

Technical summary

IBM Langflow OSS versions 1.0.0 through 1.10.0 are vulnerable to arbitrary Python code execution with root privileges (UID=0) on the Langflow server. Attackers can exploit this vulnerability by submitting components containing socket or urllib imports. This allows for potential security breaches, including AWS credential theft via IMDSv1 SSRF with full IAM role permissions, arbitrary file exfiltration from the container filesystem, and lateral movement to internal services (PostgreSQL, Redis) within the Docker network.

Defensive priority

High priority for Langflow server administrators and security teams to verify exposure and apply patches or mitigations.

Recommended defensive actions

  • Verify Langflow server exposure and apply patches or mitigations.
  • Review and restrict component submissions to prevent arbitrary Python code execution.
  • Monitor for potential AWS credential theft and lateral movement within the Docker network.
  • Implement compensating controls to detect and prevent exploitation.
  • Review system logs for suspicious activity.
  • Conduct regular security audits to identify potential vulnerabilities.
  • Develop an incident response plan in case of a security breach.

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its critical CVSS score of 9.6 and potential impacts such as AWS credential theft and lateral movement. The vulnerability allows attackers to execute arbitrary Python code with root privileges on the Langflow server by submitting components containing socket or urllib imports. This enables attackers to exploit the system, potentially leading to security breaches and data compromise. Langflow server administrators and security teams should verify exposure and

Sources and references

Verified primary and authoritative sources

  • CVE-2026-12944 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-12944

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

  • CVE-2026-12944 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-12944

    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.