CVE-2026-115727 in AgenticSeek
Summary
by MITRE • 10/23/2026
AgenticSeek before commit 409840c contains a remote code execution vulnerability because llm_server/app.py hardcodes Flask debug mode while binding to all interfaces. Attackers who reach the server port and obtain the derivable Werkzeug debugger PIN can execute Python code and operating system commands with llm_server privileges.
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Analysis
by VulDB Data Team • 10/23/2026
The vulnerability identified in AgenticSeek prior to commit 409840c represents a critical misconfiguration within the application's web server infrastructure, specifically involving the Flask framework used by the llm_server component. The core technical flaw stems from two concurrent security failures: the explicit enabling of debug mode and the binding of the development server to all network interfaces rather than restricting access to localhost only. In production environments, Flask’s debug mode is intended solely for local development due to its inclusion of an interactive debugger that facilitates code inspection and execution during runtime errors. When this feature remains active in a deployed service exposed to external networks, it creates a severe attack surface by exposing the Werkzeug debugger interface to unauthenticated remote users.
The operational impact of this configuration error allows attackers who can reach the server port on any accessible network interface to exploit the interactive Python traceback page. The primary mechanism for exploitation involves deriving or guessing the PIN required to unlock the code execution console within the Werkzeug debugger. While modern versions of Werkzeug implement safeguards such as randomizing the PIN based on machine-specific data, older configurations or specific deployment scenarios may result in predictable or easily derivable PINs through common default values or information leakage from other system components. Once an attacker obtains this PIN, they gain access to a fully functional Python interpreter running with the same privileges as the llm_server process. This capability effectively translates into arbitrary remote code execution on the host machine, allowing for complete compromise of the underlying operating system and any data processed by the service.
From a classification perspective, this vulnerability aligns closely with CWE-489, which describes Active Debug Code in Production Software, as it involves leaving development-specific features enabled in an operational environment. Furthermore, the exploitation path corresponds to MITRE ATT&CK technique T1059.004, specifically Command and Scripting Interpreter: Python, where adversaries use scripting languages to execute arbitrary commands on a compromised system. The binding to all interfaces also relates to CWE-286, Improper User Authentication, in the context that the debugger interface lacks sufficient access controls for remote connections, effectively bypassing intended network segmentation boundaries.
To mitigate this vulnerability and prevent similar incidents, it is imperative to ensure that debug mode is strictly disabled in any environment outside of isolated local development setups. This can be achieved by setting the FLASK_DEBUG environment variable to false or explicitly configuring the Flask application instance with debug=False before running the server. Additionally, production deployments should never use Flask’s built-in development server; instead, they must utilize a robust WSGI HTTP server such as Gunicorn, uWSGI, or Waitress, which are designed for performance and security in multi-user environments. Network-level controls should also be implemented to restrict access to the application port to authorized IP ranges only, ensuring that even if configuration errors occur, external attackers cannot reach the service interface. Regular auditing of deployment configurations against industry standards like CIS Benchmarks can help identify such misconfigurations before they are exposed to production traffic.