CVE-2025-65886

A shape mismatch vulnerability in OneFlow v0.9.0 allows attackers to cause a Denial of Service DoS via supplying crafted tensor shapes...

CVE-2025-65886

A shape mismatch vulnerability in OneFlow v0.9.0 allows attackers to cause a Denial of Service DoS via supplying crafted tensor shapes...

Oneflow security vulnerabilities

Oneflow is an open-source deep learning framework developed by Oneflow. Version 0.9.0 of Oneflow contains a security vulnerability, which stems from a shape mismatch issue. This vulnerability could lead to denial-of-service attacks using specially crafted tensor shapes...

CVE-2025-65886

The deep learning framework OneFlow v0.9.0 is susceptible to a shape mismatch vulnerability during the tensor shape process. This flaw allows an attacker to cause a Denial of Service (DoS) by providing specially crafted tensor shapes, which can lead to application crashes or the system becoming u...

EUVD-2025-206484

A shape mismatch vulnerability in OneFlow v0.9.0 allows attackers to cause a Denial of Service DoS via supplying crafted tensor shapes...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. Building invalid/overflowing tensor shapes leads to CHECK-fails, causing an application crash...

CVE-2022-23568 Integer overflows in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service. We are missing some validation on the...

Google TensorFlow 输入验证错误漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. Google Tensorflow suffers from an input validation error vulnerability that stems from a lack of validation of the input tensor shape, which could be exploited to launch a denial-of-service attack...

CVE-2021-41206

TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or CHECK-fail related crashes...