CVE-2021-29521

Sažetak

TensorFlow is an end-to-end open source platform for machine learning. Specifying a negative dense shape in `tf.raw_ops.SparseCountSparseOutput` results in a segmentation fault being thrown out from the standard library as `std::vector` invariants are broken. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L199-L213) assumes the first element of the dense shape is always positive and uses it to initialize a `BatchedMap<T>` (i.e., `std::vector<absl::flat_hash_map<int64,T>>`(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L27)) data structure. If the `shape` tensor has more than one element, `num_batches` is the first value in `shape`. Ensuring that the `dense_shape` argument is a valid tensor shape (that is, all elements are non-negative) solves this issue. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3.

Reference

CVSS

Base:	2.1
Impact:	2.9
Exploitability:	3.9

Pristup

Vektor	Složenost	Autentikacija
LOCAL	LOW	NONE

Impact

Povjerljivost	Cjelovitost	Dostupnost
NONE	NONE	PARTIAL

CVSS vektor

AV:L/AC:L/Au:N/C:N/I:N/A:P

Zadnje važnije ažuriranje

20-05-2021 - 17:19

Objavljeno

14-05-2021 - 20:15