GHSA-H9PX-9VQG-222H Heap OOB in `QuantizeAndDequantizeV3`

Impact An attacker can read data outside of bounds of heap allocated buffer in tf.rawops.QuantizeAndDequantizeV3: python import tensorflow as tf tf.rawops.QuantizeAndDequantizeV3 input=2.5,2.5, inputmin=0,0, inputmax=1,1, numbits=30, signedinput=False, rangegiven=False, narrowrange=False, axis=3...

GHSA-6G85-3HM8-83F9 CHECK-fail in `QuantizeAndDequantizeV4Grad`

Impact An attacker can trigger a denial of service via a CHECK-fail in tf.rawops.QuantizeAndDequantizeV4Grad: python import tensorflow as tf gradienttensor = tf.constant0.0, shape=1 inputtensor = tf.constant0.0, shape=1 inputmin = tf.constant0.0, shape=1, 1 inputmax = tf.constant0.0, shape=1, 1...

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-2021-190

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-2021-670

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-2021-181

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-2021-679

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-2021-481

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-2021-670

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-2021-190

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-2021-472

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-2021-538

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-2021-736

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...

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-2021-29544

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...

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...

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-2021-18295 · 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...