Division by zero in TFLite's implementation of `BatchToSpaceNd`

Impact The implementation of the BatchToSpaceNd TFLite operator is vulnerable to a division by zero error: cc TFLITEENSUREEQcontext, outputbatchsize % blockshapedim, 0; outputbatchsize = outputbatchsize / blockshapedim; An attacker can craft a model such that one dimension of the block input is 0...

GHSA-JJR8-M8G8-P6WV Null pointer dereference in TFLite's `Reshape` operator

Impact The fix for 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 vulnerability allowed passing a null-buffer-backed tensor with a 1D shape: cc if tensor-data.raw == nullptr && tensor-bytes 0 if...

Null pointer dereference in TFLite's `Reshape` operator

Impact The fix for 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 vulnerability allowed passing a null-buffer-backed tensor with a 1D shape: cc if tensor-data.raw == nullptr && tensor-bytes 0 if...

GHSA-CWV3-863G-39VX Stack overflow due to looping TFLite subgraph

Impact 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 replaced by stack overflow due to too many recursive calls. For...

Stack overflow due to looping TFLite subgraph

Impact 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 replaced by stack overflow due to too many recursive calls. For...

GHSA-24X6-8C7M-HV3F Heap OOB read in TFLite's implementation of `Minimum` or `Maximum`

Impact 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 implementation indexes in both tensors with the same index but does not...

Heap OOB read in TFLite's implementation of `Minimum` or `Maximum`

Impact 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 implementation indexes in both tensors with the same index but does not...

GHSA-3W67-Q784-6W7C Division by zero in TFLite's implementation of `GatherNd`

Impact The reference implementation of the GatherNd TFLite operator is vulnerable to a division by zero error: cc ret.dimstocounti = remainflatsize / paramsshape.Dimsi; An attacker can craft a model such that params input would be an empty tensor. In turn, paramsshape.Dims. would be zero, in at...

Division by zero in TFLite's implementation of `GatherNd`

Impact The reference implementation of the GatherNd TFLite operator is vulnerable to a division by zero error: cc ret.dimstocounti = remainflatsize / paramsshape.Dimsi; An attacker can craft a model such that params input would be an empty tensor. In turn, paramsshape.Dims. would be zero, in at...

GHSA-VFR4-X8J2-3RF9 Division by zero in TFLite's implementation of `TransposeConv`

Impact The optimized implementation of the TransposeConv TFLite operator is vulnerable to a division by zero error: cc int heightcol = height + padt + padb - filterh / strideh + 1; int widthcol = width + padl + padr - filterw / stridew + 1; An attacker can craft a model such that strideh,w values...

Division by zero in TFLite's implementation of `TransposeConv`

Impact The optimized implementation of the TransposeConv TFLite operator is vulnerable to a division by zero error: cc int heightcol = height + padt + padb - filterh / strideh + 1; int widthcol = width + padl + padr - filterw / stridew + 1; An attacker can craft a model such that strideh,w values...

GHSA-J7RM-8WW4-XX2G Division by zero in TFLite's implementation of `SpaceToDepth`

Impact The Prepare step of the SpaceToDepth TFLite operator does not check for 0 before division. cc const int blocksize = params-blocksize; const int inputheight = input-dims-data1; const int inputwidth = input-dims-data2; int outputheight = inputheight / blocksize; int outputwidth = inputwidth ...

Division by zero in TFLite's implementation of `SpaceToDepth`

Impact The Prepare step of the SpaceToDepth TFLite operator does not check for 0 before division. cc const int blocksize = params-blocksize; const int inputheight = input-dims-data1; const int inputwidth = input-dims-data2; int outputheight = inputheight / blocksize; int outputwidth = inputwidth ...

GHSA-26J7-6W8W-7922 Division by zero in optimized pooling implementations in TFLite

Impact Optimized pooling implementations in TFLite fail to check that the stride arguments are not 0 before calling ComputePaddingHeightWidth. Since users can craft special models which will have params-strideheight,width be zero, this will result in a division by zero. Patches We have patched th...

Division by zero in optimized pooling implementations in TFLite

Impact Optimized pooling implementations in TFLite fail to check that the stride arguments are not 0 before calling ComputePaddingHeightWidth. Since users can craft special models which will have params-strideheight,width be zero, this will result in a division by zero. Patches We have patched th...

GHSA-MV78-G7WQ-MHP4 Division by zero in padding computation in TFLite

Impact The TFLite computation for size of output after padding, ComputeOutSize, does not check that the stride argument is not 0 before doing the division. cc inline int ComputeOutSizeTfLitePadding padding, int imagesize, int filtersize, int stride, int dilationrate = 1 int effectivefiltersize =...

Division by zero in padding computation in TFLite

Impact The TFLite computation for size of output after padding, ComputeOutSize, does not check that the stride argument is not 0 before doing the division. cc inline int ComputeOutSizeTfLitePadding padding, int imagesize, int filtersize, int stride, int dilationrate = 1 int effectivefiltersize =...

GHSA-XVJM-FVXX-Q3HV CHECK-fail due to integer overflow

Impact An attacker can trigger a denial of service via a CHECK-fail in caused by an integer overflow in constructing a new tensor shape: python import tensorflow as tf inputlayer = 260-1 sparsedata = tf.rawops.SparseSplit splitdim=1, indices=0, 0, 0, 1, 0, 2, 4, 3, 5, 0, 5, 1, values=1.0, 1.0, 1....

CHECK-fail due to integer overflow

Impact An attacker can trigger a denial of service via a CHECK-fail in caused by an integer overflow in constructing a new tensor shape: python import tensorflow as tf inputlayer = 260-1 sparsedata = tf.rawops.SparseSplit splitdim=1, indices=0, 0, 0, 1, 0, 2, 4, 3, 5, 0, 5, 1, values=1.0, 1.0, 1....

Heap buffer overflow and undefined behavior in `FusedBatchNorm`

Impact The implementation of tf.rawops.FusedBatchNorm is vulnerable to a heap buffer overflow: python import tensorflow as tf x = tf.zeros10, 10, 10, 6, dtype=tf.float32 scale = tf.constant0.0, shape=1, dtype=tf.float32 offset = tf.constant0.0, shape=1, dtype=tf.float32 mean = tf.constant0.0,...