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1. Langflow Unauthorized Code Injection Vulnerability (CVE-2025-3248)
The Langflow vulnerability represents a critical flaw in one of the most popular open-source AI orchestration platforms, with over 79,000 GitHub stars signifying widespread adoption across enterprise environments.
CVE-2025-3248 stems from unsafe code validation logic in the unauthenticated /api/v1/validate/code endpoint, enabling remote attackers to execute arbitrary code without any authentication or authorization checks.
The vulnerability’s exploitation mechanism is particularly insidious, leveraging Python’s decorator evaluation behavior.
Attackers can embed malicious payloads inside decorators, triggering code execution during the parsing phase rather than during function execution.
When Langflow processes user-submitted code through Python’s ast.parse(), compile(), and exec() functions, the decorator expression is evaluated immediately, allowing attackers to achieve remote code execution before the code ever runs.
This technique bypasses traditional sandbox protections and input validation mechanisms designed to identify malicious intent at runtime.
The practical exploitation path is straightforward: an attacker sends a crafted HTTP POST request to the vulnerable endpoint with a specially constructed Python payload embedded in a decorator.
The payload executes with the privileges of the Langflow process, potentially compromising the entire AI application infrastructure, enterprise data pipelines, and connected systems.
Given Langflow’s role in building AI-powered agents and workflows for financial services, healthcare, and technology sectors, compromise of a vulnerable instance represents a critical risk to organizational operations.
Exploitation evidence emerged early, with CVE-2025-3248 added to CISA’s Known Exploited Vulnerabilities (KEV) catalog on May 5, 2025, indicating active weaponization in threat actor arsenals.
The vulnerability affects all versions prior to 1.3.0, creating a wide window of exposure for organizations that have not actively maintained their deployment versions.