Hackers Exploit Langflow Vulnerability for Remote Code Execution

Disclosed in March, the security defect enables unauthenticated attackers to write files to arbitrary locations on the system. The post Hackers Exploit Langflow Vulnerability for Remote Code Execution appeared first on SecurityWeek .

According to SecurityWeek, attackers are actively exploiting a high‑severity Langflow vulnerability (CVE-2026-5027) that allows unauthenticated users to perform path traversal via the POST /api/v2/files endpoint and write files to arbitrary locations on the system, leading to remote code execution on exposed Langflow instances.[1] The flaw is especially dangerous because Langflow enables unauthenticated auto‑login by default, so attackers can obtain a valid session token and reach the vulnerable endpoint without credentials.[1] From a CyberSE.AI perspective, this represents a critical AI supply chain risk: Langflow is a low‑code AI development platform often embedded into broader AI agent and workflow stacks, so compromise of a single Langflow component can cascade into theft of API keys, database access, and downstream service credentials, similar to other Langflow RCE issues being used for key exfiltration and supply chain attacks.[6] Organizations should treat Langflow as a high‑privilege software dependency in their AI bill of materials, rapidly inventory and patch affected versions, restrict network exposure of Langflow APIs, and incorporate continuous RCE and misconfigura