AVG-2529 log

In TensorFlow before version 2.6.1, TensorFlow's saved_model_cli tool is vulnerable to a code injection as it calls eval on user supplied strings. This can...

In TensorFlow before version 2.6.1, the ImmutableConst operation in TensorFlow can be tricked into reading arbitrary memory contents. This is because the...

In TensorFlow before version 2.6.1, the implementation of SparseBinCount is vulnerable to a heap OOB access. This is because of missing validation between...

In TensorFlow before version 2.6.1, TensorFlow's Grappler optimizer has a use of unitialized variable. If the train_nodes vector (obtained from the saved...

In TensorFlow before version 2.6.1, the implementation of SparseFillEmptyRows can be made to trigger a heap OOB access. This occurs whenever the size of...

In TensorFlow before version 2.6.1, the implementation of FusedBatchNorm kernels is vulnerable to a heap OOB access.

In TensorFlow before version 2.6.1, the implementation of SplitV can trigger a segfault is an attacker supplies negative arguments. This occurs whenever...

In TensorFlow before version 2.6.1, the shape inference code for the Cudnn* operations in TensorFlow can be tricked into accessing invalid memory, via a...

In TensorFlow before version 2.6.1, the async implementation of CollectiveReduceV2 suffers from a memory leak and a use after free. This occurs due to the...

In TensorFlow before version 2.6.1, the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to nullptr. This...

In TensorFlow before version 2.6.1, the shape inference code for AllToAll can be made to execute a division by 0. This occurs whenever the split_count argument is 0.

In TensorFlow before version 2.6.1, the process of building the control flow graph for a TensorFlow model is vulnerable to a null pointer exception when...

In TensorFlow before version 2.6.1, the shape inference function for Transpose is vulnerable to a heap buffer overflow. This occurs whenever perm contains...

In TensorFlow before version 2.6.1, the shape inference code for DeserializeSparse can trigger a null pointer dereference. This is because the shape...

In TensorFlow before version 2.6.1, the shape inference code for tf.ragged.cross has an undefined behavior due to binding a reference to nullptr.

In TensorFlow before version 2.6.1, the code behind tf.function API can be made to deadlock when two tf.function decorated Python functions are mutually...

In TensorFlow before version 2.6.1, the shape inference code for tf.ragged.cross can trigger a read outside of bounds of heap allocated array.

In TensorFlow before version 2.6.1, the shape inference code for QuantizeV2 can trigger a read outside of bounds of heap allocated array. This occurs...

In TensorFlow before version 2.6.1, the shape inference functions for SparseCountSparseOutput can trigger a read outside of bounds of heap allocated array.

In TensorFlow before version 2.6.1, the implementations for convolution operators trigger a division by 0 if passed empty filter tensor arguments.

In TensorFlow before version 2.6.1, the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of...

In TensorFlow before version 2.6.1, the implementation of ParallelConcat misses some input validation and can produce a division by 0.

In TensorFlow before version 2.6.1, several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call....

In TensorFlow before version 2.6.1, the shape inference functions for the QuantizeAndDequantizeV* operations can trigger a read outside of bounds of heap...

In TensorFlow before version 2.6.1, during TensorFlow's Grappler optimizer phase, constant folding might attempt to deep copy a resource tensor. This...

In TensorFlow before version 2.6.1, an attacker can trigger undefined behavior, integer overflows, segfaults and CHECK-fail crashes if they can change saved...

In TensorFlow before version 2.6.1, while calculating the size of the output within the tf.range kernel, there is a conditional statement of type int64 =...

In TensorFlow before version 2.6.1 during execution, EinsumHelper::ParseEquation() is supposed to set the flags in input_has_ellipsis vector and...

In TensorFlow before version 2.6.1, if tf.summary.create_file_writer is called with non-scalar arguments code crashes due to a CHECK-fail.

In TensorFlow before version 2.6.1, if tf.image.resize is called with a large input argument then the TensorFlow process will crash due to a CHECK-failure...

In TensorFlow before version 2.6.1, if tf.tile is called with a large input argument then the TensorFlow process will crash due to a CHECK- failure caused...

A security issue has been found in TensorFlow before version 2.6.1. TensorFlow allows tensor to have a large number of dimensions and each dimension can be...

In TensorFlow before version 2.6.1, the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due...

In TensorFlow before version 2.6.1, the implementation of tf.math.segment_* operations results in a CHECK-fail related abort (and denial of service) if a...