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. 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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/ba6822bd7b7324ba201a28b2f278c29a98edbef2 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/f6fde895ef9c77d848061c0517f19d0ec2682f3a | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gv26-jpj9-c8gq | Exploit Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
|
Information
Published : 2021-05-14 13:15
Updated : 2021-05-18 08:08
NVD link : CVE-2021-29607
Mitre link : CVE-2021-29607
JSON object : View
CWE
CWE-754
Improper Check for Unusual or Exceptional Conditions
Products Affected
- tensorflow