CVSS: 5.5EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29604 – Division by zero in TFLite's implementation of hashtable lookup
https://notcve.org/view.php?id=CVE-2021-29604
TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of hashtable lookup is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115) An attacker can craft a model such that `values`'s first dimension would be 0. 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. TensorFlow es una plataforma de código abierto de extremo a extremo para el aprendizaje automático. • https://github.com/tensorflow/tensorflow/commit/5117e0851348065ed59c991562c0ec80d9193db2 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8rm6-75mf-7r7r • CWE-369: Divide By Zero •
CVSS: 7.1EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29605 – Integer overflow in TFLite memory allocation
https://notcve.org/view.php?id=CVE-2021-29605
TensorFlow is an end-to-end open source platform for machine learning. The TFLite code for allocating `TFLiteIntArray`s is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L24-L27). An attacker can craft a model such that the `size` multiplier is so large that the return value overflows the `int` datatype and becomes negative. In turn, this results in invalid value being given to `malloc`(https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L47-L52). In this case, `ret->size` would dereference an invalid pointer. • https://github.com/tensorflow/tensorflow/commit/7c8cc4ec69cd348e44ad6a2699057ca88faad3e5 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jf7h-7m85-w2v2 • CWE-190: Integer Overflow or Wraparound •
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 •