CVE-2022-23587

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior...

Integer overflow in TensorFlow

Impact Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. Patches We have patched the issue in GitHub commi...

Tensorflow Input Validation Error Vulnerability (CNVD-2022-11209)

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. An input validation error vulnerability exists in Tensorflow, which stems from the fact that the er component of TensorFlow is prone to integer overflow when estimating the cost of crop and resize, whic...

PYSEC-2022-151

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior...

Integer overflow

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior...

CVE-2022-23587 Integer overflow in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior...

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. An input validation error vulnerability exists in Tensorflow, which stems from the fact that the er component of TensorFlow is prone to integer overflow when estimating the cost of crop and resize, whic...

Google TensorFlow Buffer Overflow Vulnerability (CNVD-2020-62809)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Tensorflow versions prior to 2.4.0, which stems from when the parameter to boxes of tf.image.cropandresize has a very large value, and the CPU kernel...

PYSEC-2020-296

In Tensorflow before version 2.4.0, when the boxes argument of tf.image.cropandresize has a very large value, the CPU kernel implementation receives it as a C++ nan floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is...

PYSEC-2020-139

In Tensorflow before version 2.4.0, when the boxes argument of tf.image.cropandresize has a very large value, the CPU kernel implementation receives it as a C++ nan floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is...

PYSEC-2020-331

In Tensorflow before version 2.4.0, when the boxes argument of tf.image.cropandresize has a very large value, the CPU kernel implementation receives it as a C++ nan floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is...

CVE-2020-15266

In Tensorflow before version 2.4.0, when the boxes argument of tf.image.cropandresize has a very large value, the CPU kernel implementation receives it as a C++ nan floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is...

PT-2020-14326 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.4.0 Description: The issue arises when the boxes argument of tf.image.crop and resize has a very large value, causing the CPU kernel implementation to receive it as a C++ nan floating point value. This leads to...