CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29606 – Heap OOB read in TFLite
https://notcve.org/view.php?id=CVE-2021-29606
TensorFlow is an end-to-end open source platform for machine learning. A specially crafted TFLite model could trigger an OOB read on heap in the TFLite implementation of `Split_V`(https://github.com/tensorflow/tensorflow/blob/c59c37e7b2d563967da813fa50fe20b21f4da683/tensorflow/lite/kernels/split_v.cc#L99). If `axis_value` is not a value between 0 and `NumDimensions(input)`, then the `SizeOfDimension` function(https://github.com/tensorflow/tensorflow/blob/102b211d892f3abc14f845a72047809b39cc65ab/tensorflow/lite/kernels/kernel_util.h#L148-L150) will access data outside the bounds of the tensor shape array. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. • https://github.com/tensorflow/tensorflow/commit/ae2daeb45abfe2c6dda539cf8d0d6f653d3ef412 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h4pc-gx2w-f2xv • CWE-125: Out-of-bounds Read •
CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29607 – Incomplete validation in `SparseSparseMinimum`
https://notcve.org/view.php?id=CVE-2021-29607
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_sparse_binary_op_shared.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. The fix will be included in TensorFlow 2.5.0. • https://github.com/tensorflow/tensorflow/commit/ba6822bd7b7324ba201a28b2f278c29a98edbef2 https://github.com/tensorflow/tensorflow/commit/f6fde895ef9c77d848061c0517f19d0ec2682f3a https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gv26-jpj9-c8gq • CWE-754: Improper Check for Unusual or Exceptional Conditions •
CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29608 – Heap OOB and null pointer dereference in `RaggedTensorToTensor`
https://notcve.org/view.php?id=CVE-2021-29608
TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.RaggedTensorToTensor`, an attacker can exploit an undefined behavior if input arguments are empty. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L356-L360) only checks that one of the tensors is not empty, but does not check for the other ones. There are multiple `DCHECK` validations to prevent heap OOB, but these are no-op in release builds, hence they don't prevent anything. The fix will be included in TensorFlow 2.5.0. • https://github.com/tensorflow/tensorflow/commit/b761c9b652af2107cfbc33efd19be0ce41daa33e https://github.com/tensorflow/tensorflow/commit/c4d7afb6a5986b04505aca4466ae1951686c80f6 https://github.com/tensorflow/tensorflow/commit/f94ef358bb3e91d517446454edff6535bcfe8e4a https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rgvq-pcvf-hx75 • CWE-131: Incorrect Calculation of Buffer Size •
CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29609 – Incomplete validation in `SparseAdd`
https://notcve.org/view.php?id=CVE-2021-29609
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_add_op.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. The fix will be included in TensorFlow 2.5.0. • https://github.com/tensorflow/tensorflow/commit/41727ff06111117bdf86b37db198217fd7a143cc https://github.com/tensorflow/tensorflow/commit/6fd02f44810754ae7481838b6a67c5df7f909ca3 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cjc7-49v2-jp64 • CWE-476: NULL Pointer Dereference CWE-665: Improper Initialization CWE-787: Out-of-bounds Write •
CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29610 – Invalid validation in `QuantizeAndDequantizeV2`
https://notcve.org/view.php?id=CVE-2021-29610
TensorFlow is an end-to-end open source platform for machine learning. The validation in `tf.raw_ops.QuantizeAndDequantizeV2` allows invalid values for `axis` argument:. The validation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses `||` to mix two different conditions. If `axis_ < -1` the condition in `OP_REQUIRES` will still be true, but this value of `axis_` results in heap underflow. This allows attackers to read/write to other data on the heap. • https://github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mq5c-prh3-3f3h • CWE-665: Improper Initialization CWE-787: Out-of-bounds Write •