CVE-2022-29198CWE-20

Missing validation causes denial of service in TensorFlow via `SparseTensorToCSRSparseMatrix`

Medium · published May 20, 2022

CVSS v3.1
5.5
EPSS
0%
Percentile
24.4
In the wild
Unconfirmed
What it is

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SparseTensorToCSRSparseMatrix` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `dense_shape` is a vector and `indices` is a matrix (as part of requirements for sparse tensors) but there is no validation for this. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

The record
Technical detail
CVSS v3.1
5.5 · MEDIUM
Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS v4.0
Not supplied
EPSS
0.00325 · 24.4th percentile
Weakness
CWE-20 · Improper Input Validation
Published
2022-05-20T21:50Z
EPSS history
Timeline
  • 20 MAY 21:50Z
    Missing validation causes denial of service in TensorFlow via `SparseTensorToCSRSparseMatrix`
    cvelistv5