GHSA-9W2P-5MGW-P94C Integer overflow due to conversion to unsigned

Impact The implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. python import tensorflow as tf tf.rawops.QuantizeAndDequantizeV4Grad...

Missing validation in shape inference for `Dequantize`

Impact The shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments: python import tensorflow as tf tf.compat.v1.disablev2behavior tf.rawops.Dequantize inputtensor = tf.constant-10.0,...

GHSA-QFPC-5PJR-MH26 Missing validation in shape inference for `Dequantize`

Impact The shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments: python import tensorflow as tf tf.compat.v1.disablev2behavior tf.rawops.Dequantize inputtensor = tf.constant-10.0,...

Design/Logic Flaw

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

PYSEC-2021-299

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

PYSEC-2021-788

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

PYSEC-2021-590

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

PYSEC-2021-788

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

CVE-2021-37677

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

PYSEC-2021-299

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

CVE-2021-37677

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

PYSEC-2021-756

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on thi...

PYSEC-2021-267

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on thi...

CVE-2021-37645

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on thi...

PYSEC-2021-267

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on thi...

PYSEC-2021-558

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on thi...

Google TensorFlow 数字错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. An integer overflow vulnerability exists in the implementation of tf.rawops.QuantizeAndDequantizeV4Grad in versions prior to Google TensorFlow 2.6.0. The vulnerability stems from converting a signed integer value to an...

PT-2021-21795 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: The shape inference code for tf.raw ops.Dequantize has a vulnerability that coul...

GHSA-MQ5C-PRH3-3F3H Invalid validation in `QuantizeAndDequantizeV2`

Impact The validation in tf.rawops.QuantizeAndDequantizeV2 allows invalid values for axis argument: python import tensorflow as tf inputtensor = tf.constant0.0, shape=1, dtype=float inputmin = tf.constant-10.0 inputmax = tf.constant-10.0 tf.rawops.QuantizeAndDequantizeV2 input=inputtensor,...

GHSA-C45W-2WXR-PP53 Heap OOB read in `tf.raw_ops.Dequantize`

Impact Due to lack of validation in tf.rawops.Dequantize, an attacker can trigger a read from outside of bounds of heap allocated data: python import tensorflow as tf inputtensor=tf.constant 75, 75, 75, 75, -6, -9, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\ -10, -10, -10, -10, -10, -10,...