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25 September 2020

Vulnerabilities first published on this day (UTC), newest first.

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  • Medium 4.0

    Denial of service in tensorflow-lite

    In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine …

  • Medium 4.8

    Heap buffer overflow in Tensorflow

    In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning …

  • Medium 5.3

    Segfault in Tensorflow

    In eager mode, TensorFlow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1 does not set the session state. Hence, calling `tf.raw_ops.GetSessionHandle` or `tf.raw_ops.GetSessionHandleV2` results in a null pointer dereference In linked snippet, in eager m…

  • Medium 5.9

    Null pointer dereference in tensorflow-lite

    In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to conver…

  • Medium 6.5

    Segmentation fault in tensorflow-lite

    In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We …

  • Medium 4.8

    Out of bounds access in tensorflow-lite

    In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tens…

  • Medium 5.3

    Undefined behavior in Tensorflow

    In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes an invalid argument to `dlpack.to_dlpack` the expected validations will cause variables to bind to `nullptr` while setting a `status` variable to the error condition. However, this `status` argum…

  • Medium 4.3

    Memory leak in Tensorflow

    In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure. The issue occurs because the `status` argument during validation failures is not properly …

  • Medium 5.3

    Denial of Service in Tensorflow

    In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, o…

  • Medium 6.3

    Denial of Service in Tensorflow

    In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has rank 2. This tensor must be a matrix be…

  • Medium 5.4

    Heap buffer overflow in Tensorflow

    In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The…

  • Medium 5.9

    Denial of Service in Tensorflow

    In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the `splits` tensor has the minimum required number of elements. Code uses this…

  • Medium 5.9

    Segfault in Tensorflow

    In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning …

  • Medium 5.3

    Segfault in Tensorflow

    In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `tf.raw_ops.Switch` operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the ot…

  • Medium 6.1

    IBM InfoSphere Information Server 11.7 could allow a remote attacker to hijack the clicking action of the victim. By pe…

  • Medium 5.3

    IBM Business Automation Workflow 18.0, 19.0, and 20.0 and IBM Business Process Manager 8.0, 8.5, and 8.6 could allow a …

  • Medium 6.6

    Command Injection

    The package ng-packagr before 10.1.1 are vulnerable to Command Injection via the styleIncludePaths option.