CVE-2025-71006 is a security vulnerability identified in the oneflow.reshape function of OneFlow version 0.9.0, a machine learning framework used for AI model development and deployment. The vulnerability arises from a floating point exception (FPE) triggered by specially crafted inputs to the reshape operation. The reshape function is critical in tensor manipulation, allowing the reorganization of data dimensions without changing the underlying data. However, improper handling of input parameters can cause arithmetic errors leading to an unhandled exception. This exception results in a Denial of Service (DoS) condition, where the affected application or service crashes or becomes unresponsive, disrupting normal operations. The vulnerability does not require authentication or user interaction, making it potentially exploitable remotely if the affected function is exposed. No CVSS score has been assigned yet, and no patches or known exploits are currently available. The vulnerability was published on January 28, 2026, with the reservation date of January 9, 2026. The absence of patches means organizations must rely on interim mitigations. Since OneFlow is used in AI workloads, disruption could impact data processing pipelines and AI service availability. The vulnerability's root cause is an arithmetic error in floating point operations within the reshape logic, a common source of runtime exceptions in numerical computing frameworks.

The primary impact of CVE-2025-71006 is a Denial of Service condition affecting applications and services using OneFlow v0.9.0. European organizations employing OneFlow for AI model training or inference could face interruptions in their AI workflows, leading to downtime and potential delays in critical data processing tasks. This can affect sectors reliant on AI such as finance, healthcare, automotive, and research institutions. Since the vulnerability causes a crash without data leakage or code execution, confidentiality and integrity impacts are minimal. However, availability is significantly affected, especially if the reshape function is part of a production pipeline or exposed service. The lack of authentication requirements increases the risk of exploitation by internal or external actors. Disruptions could cascade in environments where AI services are integrated into larger operational systems, potentially affecting business continuity. The absence of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits once the vulnerability becomes widely known.

To mitigate CVE-2025-71006, organizations should first restrict access to OneFlow services, especially the reshape functionality, limiting it to trusted users and internal networks. Implement strict input validation and sanitization to prevent malformed or malicious inputs from reaching the reshape function. Monitor application logs and system behavior for signs of floating point exceptions or crashes related to tensor operations. Employ runtime protections such as process isolation and automatic restarts to minimize downtime in case of crashes. Until an official patch is released, consider downgrading to a previous stable version of OneFlow that does not contain this vulnerability or testing newer versions if available. Engage with the OneFlow community and vendors for updates and patches. Additionally, incorporate anomaly detection systems to identify unusual patterns that may indicate exploitation attempts. Document and rehearse incident response plans specific to AI service disruptions to ensure rapid recovery.