PYSEC-2021-472

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK-fail in tf.rawops.QuantizeAndDequantizeV4Grad. This is because the...

PYSEC-2021-247

TensorFlow is an end-to-end open source platform for machine learning. The validation in tf.rawops.QuantizeAndDequantizeV2 allows invalid values for axis argument:. The...

PYSEC-2021-708

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.rawops.Dequantize, an attacker can trigger a read from outside of bounds of heap allocated data. The...

PYSEC-2021-190

TensorFlow is an end-to-end open source platform for machine learning. An attacker can read data outside of bounds of heap allocated buffer in tf.rawops.QuantizeAndDequantizeV3. This is because the...

PYSEC-2021-736

TensorFlow is an end-to-end open source platform for machine learning. The validation in tf.rawops.QuantizeAndDequantizeV2 allows invalid values for axis argument:. The...

PYSEC-2021-219

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.rawops.Dequantize, an attacker can trigger a read from outside of bounds of heap allocated data. The...

CVE-2021-29610

TensorFlow is an end-to-end open source platform for machine learning. The validation in tf.rawops.QuantizeAndDequantizeV2 allows invalid values for axis argument:. The...

CVE-2021-29582

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.rawops.Dequantize, an attacker can trigger a read from outside of bounds of heap allocated data. The...

CVE-2021-29544

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK-fail in tf.rawops.QuantizeAndDequantizeV4Grad. This is because the implementation does not validate the rank of the input tensors. In turn, this results in the tensors...

CVE-2021-29553

TensorFlow is an end-to-end open source platform for machine learning. An attacker can read data outside of bounds of heap allocated buffer in tf.rawops.QuantizeAndDequantizeV3. This is because the...

PT-2021-18304 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: An attacker can read data outside of bound...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A heap out-of-bounds read vulnerability exists in Google TensorFlow. The vulnerability stems from a lack of validation in tf.rawops.Dequantize. No detailed vulnerability details are provided at this time...

TensorFlow 代码问题漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A denial of service vulnerability exists in Google TensorFlow QuantizeAndDequantizeV4Grad. An attacker can exploit this vulnerability to cause a CHECK-failure denial of service...

PT-2021-18361 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: The validation in tf.raw...

PT-2021-18295 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions 2.4.2 through 2.4.x and versions prior to 2.5.0 Description: An attacker can trigger a denial of service via a CHECK-fail in tf.raw ops.QuantizeAndDequantizeV4Grad. This is because the implementation does not validate the...

Google TensorFlow缓冲区错误漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Google TensorFlow versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4, which stems from tf.rawops.QuantizeAndDequantizeV2 allows invalid values for the axis parameter:. No...

PT-2021-18333 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: Due to lack of validation in tf.raw...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A heap out-of-bounds read vulnerability exists in Google TensorFlow. An attacker can exploit the vulnerability to read data outside the boundaries of the heap allocation buffer in "tf.raw\u ops.QuantizeAndDequantizeV3"...

PYSEC-2020-330

In Tensorflow before version 2.4.0, an attacker can pass an invalid axis value to tf.quantization.quantizeanddequantize. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dimsize only does a DCHECK to validate the argument and th...

PYSEC-2020-295

In Tensorflow before version 2.4.0, an attacker can pass an invalid axis value to tf.quantization.quantizeanddequantize. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dimsize only does a DCHECK to validate the argument and th...