Keras 2.15 · Remote Code Execution (RCE)

AI-suggested

European organizations should immediately audit their environments to identify any deployments of Keras 2.15. Until an official patch is released, organizations should consider the following specific mitigations: 1) Restrict access to systems running Keras to trusted users and networks only, minimizing exposure to untrusted inputs. 2) Implement strict input validation and sanitization for any data or model files processed by Keras to prevent malicious payloads. 3) Employ application-level sandboxing or containerization to isolate Keras processes, limiting the impact of potential exploitation. 4) Monitor system and application logs for unusual activity indicative of exploitation attempts, such as unexpected Python code execution or network connections. 5) Engage with vendors or the open-source community to obtain patches or workarounds as soon as they become available. 6) Review and harden the security posture of AI/ML pipelines, including restricting file upload capabilities and disabling unnecessary features that could be exploited. 7) Consider temporarily downgrading to a previous, unaffected version of Keras if feasible and tested for compatibility.