CVE-2021-29590

TensorFlow/TFLite Minimum and Maximum operators are vulnerable to a heap-based out-of-bounds read when either input tensor is empty, due to broadcasting code indexing both tensors without bounds validation. The issue affects TF/TFLite, with fixes planned for TensorFlow 2.5.0 and cherry-picked bac...

CVE-2021-29590

TensorFlow is an end-to-end open source platform for machine learning. The implementations of the Minimum and Maximum TFLite operators can be used to read data outside of bounds of heap allocated objects, if any of the two input tensor arguments are empty. This is because the broadcasting...

CVE-2021-29590 Heap OOB read in TFLite's implementation of `Minimum` or `Maximum`

TensorFlow is an end-to-end open source platform for machine learning. The implementations of the Minimum and Maximum TFLite operators can be used to read data outside of bounds of heap allocated objects, if any of the two input tensor arguments are empty. This is because the broadcasting...

CVE-2021-29591 Stack overflow due to looping TFLite subgraph

TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be...

CVE-2021-29591

TensorFlow/TfLite vulnerability CVE-2021-29591 stems from loops in TFlite subgraphs (example: While) allowing potential infinite recursion and stack exhaustion during evaluation. Affected: TensorFlow/TfLite; root cause: unchecked looping between body and loop subgraphs. Impact described as stack ...

CVE-2021-29591

TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be...

CVE-2021-29592 Null pointer dereference in TFLite's `Reshape` operator

TensorFlow is an end-to-end open source platform for machine learning. The fix for CVE-2020-15209https://vulners.com/cve/CVE-2020-15209 missed the case when the target shape of Reshape operator is given by the elements of a 1-D tensor. As such, the fix for the...

CVE-2021-29592

Summary: CVE-2021-29592 is a null pointer dereference in TensorFlow’s TFLite Reshape operator. The issue arises when the target shape is supplied by a 1-D tensor; a fix previously for CVE-2020-15209 was incomplete, potentially allowing a null buffer to be treated as valid input for a 1-D shape, l...

CVE-2021-29593

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the BatchToSpaceNd TFLite operator is vulnerable to a division by zero...

CVE-2021-29593

The CVE-2021-29593 entry maps to a vulnerability in TensorFlow: the BatchToSpaceNd TFLite operator can trigger a division-by-zero when a model sets one dimension of the block input to 0, producing an unsafe block_shape value. Public documents corroborate this behavior and describe patches: the fi...

CVE-2021-29593 Division by zero in TFLite's implementation of `BatchToSpaceNd`

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the BatchToSpaceNd TFLite operator is vulnerable to a division by zero...

CVE-2021-29594 Division by zero in TFLite's convolution code

TensorFlow is an end-to-end open source platform for machine learning. TFLite's convolution codehttps://github.com/tensorflow/tensorflow/blob/09c73bca7d648e961dd05898292d91a8322a9d45/tensorflow/lite/kernels/conv.cc has multiple division where the divisor is controlled by the user and not checked ...

CVE-2021-29594

This CVE refers to TensorFlow/TFLite: the convolution code in TFLite may perform divisions where the divisor is user-controlled and not checked for zero, risking abnormal behavior or a crash. The root cause is division by zero in the TFLite convolution path (conv.cc). The issue is mitigated by a ...

CVE-2021-29595

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the DepthToSpace TFLite operator is vulnerable to a division by zero...

CVE-2021-29595 Division by zero in TFLite's implementation of `DepthToSpace`

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the DepthToSpace TFLite operator is vulnerable to a division by zero...

CVE-2021-29595

TensorFlow/TFLite: DepthToSpace division-by-zero in the DepthToSpace TFLite operator. A model with block_size = 0 triggers a fault in the calculation of output_channels, per the cited code path. A fix is planned for TensorFlow 2.5.0, with cherry-picks to 2.4.2, 2.3.3, 2.2.3, and 2.1.4 (still in s...

CVE-2021-29596 Division by zero in TFLite's implementation of `EmbeddingLookup`

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the EmbeddingLookup TFLite operator is vulnerable to a division by zero...

CVE-2021-29596

CVE-2021-29596: TensorFlow/TFLite EmbeddingLookup suffers a division-by-zero in EmbeddingLookup when the first dimension of value is 0. Affected component is the TFLite operator in TensorFlow; root cause is a division by zero in embedding_lookup.cc. The documented fix is to include a patch in Ten...

CVE-2021-29597

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in blockshape is...

CVE-2021-29597 Division by zero in TFLite's implementation of `SpaceToBatchNd`

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in blockshape is...