CVE-2021-29607

Summary

CVECVE-2021-29607
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2021-05-14 20:15:00 UTC
Updated2021-05-18 15:08:00 UTC
DescriptionTensorFlow 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.

Risk And Classification

Problem Types: CWE-754

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Google Tensorflow All All All All

References

ReferenceSourceLinkTags
Incomplete validation in `SparseSparseMinimum` · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
Validate that a and b are proper sparse tensors · tensorflow/tensorflow@f6fde89 · GitHub MISC github.com
Fix OOB issue with `tf.raw_ops.SparseSparseMinimum`. · tensorflow/tensorflow@ba6822b · GitHub MISC github.com
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

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