Zhufeng Pan

3 exploits Active since Mar 2023
CVE-2023-25661 WRITEUP MEDIUM WRITEUP
TensorFlow < 2.11.1 - Denial of Service via Convolution3DTranspose Invalid Input
TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A proof of concept can be constructed with the `Convolution3DTranspose` function. This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be potentially used to trigger a denial of service attack on ML cloud services. An attacker must have privilege to provide input to a `Convolution3DTranspose` call. This issue has been patched and users are advised to upgrade to version 2.11.1. There are no known workarounds for this vulnerability.
CVSS 6.5
CVE-2023-25664 WRITEUP HIGH WRITEUP
TensorFlow < 2.12.0 - Heap-based Buffer Overflow in TAvgPoolGrad
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a heap buffer overflow in TAvgPoolGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1.
CVSS 7.5
CVE-2023-25801 WRITEUP HIGH WRITEUP
TensorFlow < 2.12.0 - Use-After-Free in Fractional Pooling Ops
TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements of their parameter `pooling_ratio` to be equal to 1.0, as pooling on batch and channel dimensions is not supported. A fix is included in TensorFlow 2.12.0 and 2.11.1.
CVSS 8.0