CVE-2021-29544

TensorFlow vulnerability CVE-2021-29544 (QuantizeAndDequantizeV4Grad) is triggered by a rank-validation CHECK-fail in tf.raw_ops.QuantizeAndDequantizeV4Grad, caused by inputs not being validated before passing to QuantizeAndDequantizePerChannelGradientImpl. The issue leads to denial of service vi...

CVE-2021-29545

CVE-2021-29545 concerns TensorFlow and describes a heap-based out-of-bounds issue in SparseTensorToCSRSparseMatrix caused by a double redirection when accessing csr_row_ptr via indices(i, 0) + 1. This can lead to a denial of service by writing outside heap data. The connected OSV/GHSA entries con...

CVE-2021-29545

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 converting sparse tensors to CSR Sparse matrices. This is because the...

CVE-2021-29545 Heap buffer overflow in `SparseTensorToCSRSparseMatrix`

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 converting sparse tensors to CSR Sparse matrices. This is because the...

CVE-2021-29546

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by zero undefined behavior in tf.rawops.QuantizedBiasAdd. This is because the implementation of the Eigen...

CVE-2021-29546

CVE-2021-29546 concerns TensorFlow’s QuantizedBiasAdd. The issue arises from the Eigen kernel implementation in quantization_utils.h, which divides by the number of elements of the smaller input without guarding against zero, causing integer division by zero undefined behavior. Public details in ...

CVE-2021-29546 Division by 0 in `QuantizedBiasAdd`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by zero undefined behavior in tf.rawops.QuantizedBiasAdd. This is because the implementation of the Eigen...

CVE-2021-29547 Heap out of bounds in `QuantizedBatchNormWithGlobalNormalization`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a segfault and denial of service via accessing data outside of bounds in tf.rawops.QuantizedBatchNormWithGlobalNormalization. This is because the...

CVE-2021-29547

CVE-2021-29547 affects TensorFlow QuantizedBatchNormWithGlobalNormalization. The issue is a heap/out-of-bounds vulnerability caused by inputs being allowed to be empty; when any input is empty, flat()(0) accesses data outside of bounds, enabling a segfault/denial of service. Patches were applied ...

CVE-2021-29547

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a segfault and denial of service via accessing data outside of bounds in tf.rawops.QuantizedBatchNormWithGlobalNormalization. This is because the...

CVE-2021-29548 Division by 0 in `QuantizedBatchNormWithGlobalNormalization`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in tf.rawops.QuantizedBatchNormWithGlobalNormalization. This is because the...

CVE-2021-29548

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in tf.rawops.QuantizedBatchNormWithGlobalNormalization. This is because the...

CVE-2021-29548

TensorFlow vulnerability CVE-2021-29548 concerns the QuantizedBatchNormWithGlobalNormalization path. The issue is a runtime division-by-zero that can cause a denial of service due to insufficient validation of the op contract in the quantized batch-norm kernel. A fix is planned and will be includ...

CVE-2021-29549 Division by 0 in `QuantizedAdd`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in tf.rawops.QuantizedBatchNormWithGlobalNormalization. This is because the...

CVE-2021-29549

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in tf.rawops.QuantizedBatchNormWithGlobalNormalization. This is because the...

CVE-2021-29549

CVE-2021-29549 (TensorFlow) is a division-by-zero vulnerability in tf.raw_ops.QuantizedAdd/QuantizedBatchNormWithGlobalNormalization that can trigger a runtime error and denial of service. The root cause is a modulo operation applied with vector_num_elements that can be zero because it is derived...

CVE-2021-29550

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in tf.rawops.FractionalAvgPool. This is because the...

CVE-2021-29550 Division by 0 in `FractionalAvgPool`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in tf.rawops.FractionalAvgPool. This is because the...

CVE-2021-29550

TensorFlow CVE-2021-29550 concerns a runtime division-by-zero in tf.raw_ops.FractionalAvgPool within the FractionalAvgPool implementation. The root cause is that the operator computes output_size by floor-dividing input_size[i] by pooling_ratio[i], where both values are user-controlled; if input_...

CVE-2021-29551 OOB read in `MatrixTriangularSolve`

TensorFlow is an end-to-end open source platform for machine learning. The implementation of MatrixTriangularSolvehttps://github.com/tensorflow/tensorflow/blob/8cae746d8449c7dda5298327353d68613f16e798/tensorflow/core/kernels/linalg/matrixtriangularsolveopimpl.hL160-L240 fails to terminate kernel...