CVE-2022-29198
Missing validation causes denial of service in TensorFlow via `SparseTensorToCSRSparseMatrix`
Description
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.
How to fix CVE-2022-29198
To remediate CVE-2022-29198, upgrade the affected package to a fixed version below.
- —upgrade to 2.6.4 or later
- —upgrade to 2.6.4 or later
- —upgrade to 2.6.4 or later
- —upgrade to 2.6.4 or later
Is CVE-2022-29198 being exploited?
Low — EPSS is 0.1%, meaning exploitation activity has not been observed at scale.
Affected packages (4)
- from 0, < 2.6.4, >= 2.7.0, < 2.7.2
- from 0, < 2.6.4
- from 0, < 2.6.4
- from 0, < 2.6.4
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 3.1 | MEDIUM5.5 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |