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-2021-538

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-2021-708

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-2021-219

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...

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-2021-736

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...

Out-of-bounds

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-2021-510

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-2021-247

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-2021-736

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-2021-481

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-2021-679

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-2021-219

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...

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-2021-670

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...

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...