CVE-2021-29538

TensorFlow CVE-2021-29538 concerns a division-by-zero in Conv2DBackpropFilter. The issue arises when shapes are empty, causing work_unit_size to be 0 and a divide operation to throw a runtime error, enabling potential denial-of-service conditions. Concrete details in connected docs specify the af...

CVE-2021-29539

TensorFlow CVE-2021-29539 describes a segfault in tf.raw_ops.ImmutableConst when dtype is tf.resource or tf.variant. Root cause: the implementation assumes scalar contents, leading to a crash. A fix was committed (4f663d4b8f0bec1b48da6fa091a7d29609980fa4) and TensorFlow 2.5.0 will include the pat...

CVE-2021-29539 Segfault in tf.raw_ops.ImmutableConst

TensorFlow is an end-to-end open source platform for machine learning. Calling tf.rawops.ImmutableConsthttps://www.tensorflow.org/apidocs/python/tf/rawops/ImmutableConst with a dtype of tf.resource or tf.variant results in a segfault in the implementation as code assumes that the tensor contents...

CVE-2021-29540

TensorFlow CVE-2021-29540 describes a heap-based buffer overflow in Conv2DBackpropFilter caused by calculating the filter tensor size without validating it against filter_sizes. This mismatch can lead to out-of-bounds reads/writes when accessing the buffer. The issue affects multiple TensorFlow v...

CVE-2021-29540 Heap buffer overflow in `Conv2DBackpropFilter`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow to occur in Conv2DBackpropFilter. This is because the...

CVE-2021-29541

CVE-2021-29541 : TensorFlow StringNGrams vulnerability — the implementation of data_splits is not fully validated, allowing a null pointer dereference when ngram computation leads to zero/negative output size. This can cause a crash (null pointer dereference) on affected TensorFlow builds. A fix ...

CVE-2021-29541 Null pointer dereference in `StringNGrams`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a dereference of a null pointer in tf.rawops.StringNGrams. This is because the...

CVE-2021-29542

Summary: CVE-2021-29542 affects TensorFlow’s StringNGrams function in tf.raw_ops. The vulnerability arises when input leads to a case where num_tokens is 0 and data_start_index equals 0 (left padding present), causing an out-of-bounds read of data[-1] in the loop that builds an n-gram, leading to...

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-2021-29546

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

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-2021-29548 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 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

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 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

TensorFlow CVE-2021-29551 relates to MatrixTriangularSolve: the kernel failed to terminate when input validation fails, enabling a potential heap OOB read with crafted tensors. The issue is tied to OP_REQUIRES paths not aborting before using inputs, leading to invalid data usage in bcast construc...

CVE-2021-29553

TensorFlow vulnerability CVE-2021-29553 involves a heap-based out-of-bounds read in tf.raw_ops.QuantizeAndDequantizeV3 caused by not validating the user-supplied axis before indexing the input. Affected TensorFlow versions are in the 2.x range, with a fix planned for TensorFlow 2.5.0 and cherry-p...