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-2021-29541

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-2021-29542

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow by passing crafted inputs to tf.rawops.StringNGrams. This is because the...

CVE-2021-29542 Heap buffer overflow in `StringNGrams`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow by passing crafted inputs to tf.rawops.StringNGrams. This is because the...

CVE-2021-29543 CHECK-fail in `CTCGreedyDecoder`

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.CTCGreedyDecoder. This is because the...

CVE-2021-29543

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.CTCGreedyDecoder. This is because the...

CVE-2021-29543

CVE-2021-29543 affects TensorFlow’s CTCGreedyDecoder with a CHECK_LT invariant in tf.raw_ops.CTCGreedyDecoder that can trigger a denial-of-service via abnormal termination. Connected sources provide concrete technical details: the issue resides in TensorFlow core/kernels/ctc_decoder_ops.cc lines ...

CVE-2021-29544 CHECK-fail in `QuantizeAndDequantizeV4Grad`

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-2021-29544

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-2021-29544

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-2021-29545

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

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

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 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 ...