Critical Unauthenticated Remote Code Execution (CVE‑2026‑0770) Discovered in Langflow 1.3.0 Web Application

Critical Unauthenticated Remote Code Execution (CVE‑2026‑0770) Discovered in Langflow 1.3.0 Web Application

What Happened – A remote code execution vulnerability (CVE‑2026‑0770) was found in Langflow 1.3.0 (and earlier 1.2.0). The flaw resides in the exec_globals parameter of the /api/v1/validate/code endpoint, allowing an attacker to inject and execute arbitrary shell commands as root without any authentication. Proof‑of‑concept exploits are publicly available on Exploit‑DB.

Why It Matters for TPRM –

• Unauthenticated RCE can be leveraged to compromise any downstream services that integrate with Langflow, expanding the attack surface of your supply chain.
• Attackers gaining root on the host can exfiltrate proprietary AI/ML workflow data, credentials, or install ransomware.
• The vulnerability is exploitable on any platform (Docker, Debian, etc.), making it relevant for on‑premise, cloud‑hosted, and managed‑service deployments.

Who Is Affected – Organizations that deploy Langflow for AI/ML workflow orchestration, including technology SaaS providers, research labs, healthcare analytics teams, and any enterprise that embeds Langflow into internal tooling.

Recommended Actions –

• Immediately upgrade to a patched version (≥ 1.3.1) once released.
• If upgrade is not possible, block external access to /api/v1/validate/code and enforce network segmentation.
• Conduct a thorough review of logs for suspicious /validate/code calls and rotate any credentials that may have been used.
• Validate that your CI/CD pipeline does not pull unverified Langflow images; use signed containers only.

Technical Notes – The exploit abuses the exec_globals field to inject a Python function that runs subprocess.run() with attacker‑supplied commands. No authentication token is required; the endpoint also supports an auto‑login shortcut that returns a short‑lived token, further simplifying abuse. Affected CVE: CVE‑2026‑0770. Data at risk includes source code, model artifacts, and any files accessible to the Langflow process. Source: https://www.exploit-db.com/exploits/52597